  | Ali, M., Garcia, P., Lunkes, L. P., Sciortino, A., Thomas, M., Heurtaux, T., Grzyb, K., Halder, R., Coowar, D., Skupin, A., Buée, L., Blum, D., Buttini, M., & GLAAB, E. (2024). Single cell transcriptome analysis of the THY-Tau22 mouse model of Alzheimer's disease reveals sex-dependent dysregulations. Cell Death Discovery, 10 (119), 10.1038/s41420-024-01885-9. doi:10.1038/s41420-024-01885-9  Peer Reviewed verified by ORBi |
 | Gómez de Lope, E., Loo, R. T. J., Rauschenberger, A., Ali, M., Pavelka, L., Marques, T. M., Gomes, C. P. C., Krüger, R., & GLAAB, E. (2024). Comprehensive blood metabolomics profiling of Parkinson's disease reveals coordinated alterations in xanthine metabolism. NPJ Parkinson's Disease, in press (in press). Peer Reviewed verified by ORBi |
  | Hähnel, T., Raschka, T., Sapienza, S., Klucken, J., GLAAB, E., Corvol, J.-C., Falkenburger, B., & Fröhlich, H. (2024). Progression subtypes in Parkinson's disease identified by a data driven multi cohort analysis. NPJ Parkinson's Disease, in press (in press). Peer Reviewed verified by ORBi |
 | KLEE, M., AHO, V., MAY, P., Heintz-Buschart, A., LANDOULSI, Z., JONSDOTTIR, S., PAULY, C., PAVELKA, L., DELACOUR, L., KAYSEN, A., Krüger, R., WILMES, P., LEIST, A., Acharya, G., Aguayo, G., Alexandre, M., ALI, M., Ammerlann, W., ARENA, G., ... ZELIMKHANOV, G. (2024). Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome. Journal of Prevention of Alzheimer's Disease. doi:10.14283/jpad.2024.19 Peer reviewed |
 | PAVELKA, L., RAWAL, R., GHOSH, S., PAULY, C., PAULY, L., HANFF, A.-M., KOLBER, P. L., JONSDOTTIR, S., MCINTYRE, D., AZAIZ, K., THIRY, E., Vilasboas, L., SOBOLEVA, E., GIRAITIS, M., TSURKALENKO, O., SAPIENZA, S., DIEDERICH, N., KLUCKEN, J., GLAAB, E., ... NCER-PD Consortium. (19 December 2023). Luxembourg Parkinson’s study -comprehensive baseline analysis of Parkinson’s disease and atypical parkinsonism. Frontiers in Neurology, 14. doi:10.3389/fneur.2023.1330321 Peer Reviewed verified by ORBi |
 | Rosety, I., Zagare, A., Saraiva, C., Nickels, S., Antony, P., Almeida, C., GLAAB, E., Halder, R., Velychko, S., Rauen, T., Schöler, H. R., Bolognin, S., Sauter, T., Jarazo, J., Krüger, R., & Schwamborn, J. C. (18 December 2023). Impaired neuron differentiation in GBA-associated Parkinson's disease is linked to cell cycle defects in organoids. NPJ Parkinson's Disease, 9 (1), 166. doi:10.1038/s41531-023-00616-8 Peer Reviewed verified by ORBi |
 | GLAAB, E. (23 November 2023). Linking digital markers to molecular markers in Parkinson‘s disease [Paper presentation]. DIGIPD General Assembly, Paris, France. |
 | ZAGARE, A., Preciat, G., NICKELS, S. L., Luo, X., MONZEL, A. S., Gomez-Giro, G., ROBERTSON, G., Jaeger, C., Sharif, J., Koseki, H., DIEDERICH, N., GLAAB, E., FLEMING, R. M., & SCHWAMBORN, J. C. (20 November 2023). Omics data integration suggests a potential idiopathic Parkinson's disease signature. Communications Biology, 6 (1), 1179. doi:10.1038/s42003-023-05548-w Peer Reviewed verified by ORBi |
 | Schimunek, J., Seidl, P., Elez, K., Hempel, T., Le, T., Noé, F., Olsson, S., Raich, L., Winter, R., Gokcan, H., Gusev, F., Gutkin, E. M., Isayev, O., Kurnikova, M. G., Narangoda, C. H., Zubatyuk, R., Bosko, I. P., Furs, K. V., Karpenko, A. D., ... Hermans, T. M. (2023). A community effort in SARS-CoV-2 drug discovery. Molecular Informatics. doi:10.1002/minf.202300262 Peer Reviewed verified by ORBi |
 | MULICA, P., Venegas, C., LANDOULSI, Z., BADANJAK, K., DELCAMBRE, S., TZIORTZIOU, M., HEZZAZ, S., Ghelfi, J., SMAJIC, S., SCHWAMBORN, J. C., Krüger, R., ANTONY, P., MAY, P., GLAAB, E., GRÜNEWALD, A.* , & Pereira, S. L.*. (20 September 2023). Comparison of two protocols for the generation of iPSC-derived human astrocytes. Biological Procedures Online, 25 (1), 26. doi:10.1186/s12575-023-00218-x Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | KAYA, P., SCHAFFNER-RECKINGER, E., MANOHARAN, G. B., Vukic, V., Kiriazis, A., LEDDA, M., Burgos, M., PAVIC, K., GAIGNEAUX, A., GLAAB, E., & ABANKWA, D. (2023). An improved PDE6D inhibitor combines with Sildenafil to synergistically inhibit KRAS mutant cancer cell growth. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58308. doi:10.1101/2023.08.23.554263 |
 | Rauschenberger, A., & Glaab, E. (2023). Predicting Dichotomised Outcomes from High-Dimensional Data in Biomedicine. Journal of Applied Statistics. doi:10.1080/02664763.2023.2233057 Peer reviewed |
 | Nikos, V., & GLAAB, E. (25 July 2023). Omics network analysis using mathematical programming [Paper presentation]. 2023 International Conference on Intelligent Systems for Molecular Biology, Lyon, France. |
 | Gómez de Lope, E., Viñas Torné, R., Liò, P., & Glaab, E. (25 July 2023). Graph neural networks for investigating complex diseases: A case study on Parkinson's Disease [Poster presentation]. 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology, Lyon, France. |
 | Grütz, K., Seibler, P., GLAAB, E., Weißbach, A., Diaw, S.-A., Carlisle, F., Blake, D., Klein, C., Lohmann, K., & Grünewald, A. (01 June 2023). Investigating the molecular and cellular basis of ε-sarcoglycan-associated myoclonus-dystonia in an iPSC-derived neuronal model [Paper presentation]. Samuel Belzberg 6th International Dystonia Symposium (IDS6), Dublin, Ireland. Peer reviewed |
 | Arena, G., Landoulsi, Z., Grossmann, D., Vitali, A., Delcambre, S., Baron, A., Antony, P., Boussaad, I., Bobbili, D. R., Sreelatha, A. A. K., Pavelka, L., Klein, C., Seibler, P., Glaab, E., Sharma, M., Krüger, R., May, P., & Grünewald, A. (2023). Polygenic risk scores validated in patient-derived cells stratify for mitochondrial subtypes of Parkinson\textquoterights disease 2023.05.12.23289877. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55367. doi:10.1101/2023.05.12.23289877 |
ALI, M.* , GARCIA, P.* , Laetitia P. Lunkes, SCIORTINO, A., THOMAS, M., HEURTAUX, T., GRZYB, K., HALDER, R., SKUPIN, A., MITTELBRONN, M., BUTTINI, M., & GLAAB, E. (12 May 2023). Gene Regulatory Network Analysis of Single-Cell Transcriptomes from THY-Tau22 Mice Reveals Sex-Dependent Immune Dysregulation associated with Alzheimer-like pathology [Poster presentation]. The 7th Venusberg Meeting on Neuroinflammation, Belval, Luxembourg. * These authors have contributed equally to this work. |
 | GOMEZ DE LOPE, E., & GLAAB, E. (11 May 2023). Pathway-based machine learning analysis of Parkinson’s disease transcriptomics data reveals coordinated alterations in inflammatory pathways [Poster presentation]. 7th Venusberg Meeting on Neuroinflammation, Luxembourg. Peer reviewed |
 | Roomp, K., GLAAB, E., & Schneider, J. (11 May 2023). Sex-specific Transcriptomic, Proteomic Differences across Multiple Alzheimer's Disease Cohorts [Poster presentation]. 7th Venusberg Meeting on Neuroinflammation, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Jarazo, J., Santos Da Silva, E., GLAAB, E., Perez, D., & Schwamborn, J. (26 January 2023). SARS-COV-2 INDUCES DOPAMINERGIC NEURON LOSS IN MIDBRAIN ORGANOIDS [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Pauly, C., GLAAB, E., Hansen, M., Martin-Gallausiaux, C., Ledda, M., Marques, T., Wilmes, P., Krüger, R., & Diederich, N. (26 January 2023). MORE SMOKE THAN FIRE NO SPEEDING UP OF PARKINSON‘S DISEASE AFTER COVID-10 LOCKDOWN [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Rauschenberger, A., Landoulsi, Z., van de Wiel, M. A., & Glaab, E. (2023). Penalised regression with multiple sources of prior effects. Bioinformatics, in press. doi:10.48550/arXiv.2212.08581 Peer Reviewed verified by ORBi |
 | Sieberts, S. K., Borzymowski, H., Guan, Y., Huang, Y., Matzner, A., Page, A., Bar-Gad, I., Beaulieu-Jones, B., El-Hanani, Y., Goschenhofer, J., Javidnia, M., Keller, M. S., Li, Y.-C., Saqib, M., Smith, G., Stanescu, A., Venuto, C. S., Zielinski, R., Glaab, E., ... BEAT-PD, D. C. C. (Other coll.). (2023). Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge. PLoS Digital Health, 2 (3), 0000208. doi:10.1371/journal.pdig.0000208 Peer reviewed |
 | Khachatryan, L., Xiang, Y., Ivanov, A., Glaab, E., Graham, G., Granata, I., Giordano, M., Maddalena, L., Piccirillo, M., Manipur, I., Baruzzo, G., Cappellato, M., Avot, B., Stan, A., Battey, J., Lo Sasso, G., Boue, S., Ivanov, N. V., Peitsch, M. C., ... Poussin, C. (2023). Results and Lessons Learned from the sbv IMPROVER Metagenomics Diagnostics for Inflammatory Bowel Disease Challenge. Scientific Reports, in press. doi:10.1038/s41598-023-33050-0 Peer reviewed |
 | Tranchevent, L.-C., Halder, R., & Glaab, E. (2023). Systems level analysis of sex-dependent gene expression changes in Parkinson’s disease. NPJ Parkinson's Disease, 9 (8). doi:10.1038/s41531-023-00446-8 Peer Reviewed verified by ORBi |
 | GOMEZ DE LOPE, E., & GLAAB, E. (2023). Unravelling Inflammatory Pathways in Parkinson's Disease: Insights from Pathway-Based Machine Learning Analysis of Transcriptomics Data [Paper presentation]. RIKEN-Tsinghua International Summer Program (RISP), Tokyo, Japan. |
 | Bergquist, T., Schaffter, T., Yan, Y., Yu, T., Prosser, J., Gao, J., Chen, G., Charzewski, Ł., Nawalany, Z., Brugere, I., Retkute, R., Prusokas, A., Prusokas, A., Choi, Y., Lee, S., Choe, J., Lee, I., Kim, S., Kang, J., ... Charzewski, Ł. (2023). Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. Journal of the American Medical Informatics Association. doi:10.1093/jamia/ocad159 Peer reviewed |
 | Vlassis, N., & Glaab, E. (2023). Network perturbation analysis of omics data for complex diseases using convex optimization [Poster presentation]. 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology (ISMB/ECCB 2023), Lyon, France. |
 | Landoulsi, Z., Arena, G., Grossmann, D., Vitali, A., Delcambre, S., Antony, P., Boussaad, I., Reddy Bobbili, D., Pavelka, L., GLAAB, E., Sharma, M., Krüger, R., May, P., & Grünewald, A. (2023). Functional validation of a mitochondria-specific polygenic risk score in patient-based models for stratification of idiopathic Parkinson's disease [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Zagare, A., Kurlovics, J., Stalidzans, E., Gomez Giro, G., Antony, P., Jäger, C., GLAAB, E., & Schwamborn, J. (January 2023). ANALYSIS OF INSULIN RESISTANCE AS A RISK FACTOR FOR PARKINSON’S DISEASE [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Ohnmacht, J., Bobbili, D., Meyrath, M., Remmers, D., GLAAB, E., Wyman, S., Kaye, J., May, P., Finkbeiner, S., & Krüger, R. (2023). IDENTIFICATION AND FUNCTIONAL CHARACTERIZATION OF VPS41 AS A POTENTIAL GENETIC MODIFIER OF PENETRANCE IN P.G2019S LRRK2-ASSOCIATED PARKINSON’S DISEASE [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Rawal, R., Shoaib, M., Pavelka, L., Ghosh, S., Landoulsi, Z., Pachchek, S., Rauschenberger, A., Jubal, E., Vaillant, M., Aguayo, G., Roomp, K., Gomes, C., Marques, T., Claire, P., Laure, P., McIntyre, D., Terwindt, O., Sandt, E., Hanff, A., ... Krüger, R. (2023). DATA-DRIVEN SUBTYPES OF PARKINSON’S DISEASE USING MACHINE LEARNING IN LUXEMBOURG PARKINSON STUDY [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Pavelka, L., Rauschenberger, A., GLAAB, E., & Krüger, R. (2023). Converging peripheral blood micro-RNA profiles in idiopathic Parkinson’s disease and progressive supranuclear palsy [Poster presentation]. 18th International meeting of the GEoPD consortium, Antwerp, Belgium. Peer reviewed |
 | Loo Ting Jiin, R., & GLAAB, E. (2023). Cross-cohort prognosis of levodopa-induced dyskinesia in Parkinson’s disease [Poster presentation]. Basel Computational Biology Conference, Basel, Switzerland. Peer reviewed |
 | Gómez de Lope, E., & Glaab, E. (18 September 2022). Machine learning applied to higher order functional representations of omics data reveals biological pathways associated with Parkinson‘s Disease [Poster presentation]. European Conference on Computational Biology - European Student Council Symposium, Sitges, Barcelona, Spain. Peer reviewed |
 | Ali, M., Huarte, O., Heurtaux, T., Garcia, P., Rodriguez, B. P., Grzyb, K., Halder, R., Skupin, A., Buttini, M., & Glaab, E. (2022). Single-cell transcriptional profiling and gene regulatory network modeling in Tg2576 mice reveal gender-dependent molecular features preceding Alzheimer-like pathologies. Molecular Neurobiology, in press (doi:10.1007/s12035-022-02985-2) (in press). doi:10.1007/s12035-022-02985-2 Peer Reviewed verified by ORBi |
 | Garcia, P., Wemheuer, W., Uriarte, O., Michelucci, A., Masuch, A., Brioschi, S., Weihofen, A., Koncina, E., Coowar, D., Heurtaux, T., Glaab, E., Balling, R., Sousa, C., Kaoma, T., Nicot, N., Pfander, T., Schulz-Schaeffer, W., Allouche, A., Fischer, N., ... Buttini, M. (2022). Neurodegeneration and neuroinflammation are linked, but independent of a-synuclein inclusions, in a seeding/spreading mouse model of Parkinson's disease. Glia. doi:10.1002/glia.24149 Peer Reviewed verified by ORBi |
 | Balta, M. G., Schreurs, O., Hansen, T. V., Tungen, J. E., Vik, A., Glaab, E., Küntziger, T. M., Schenck, K., Baekkevold, E. S., & Blix, I. J. S. (2022). Expression and function of resolvin RvD1(n-3 DPA) receptors in oral epithelial cells. European Journal of Oral Sciences, 130 (4), 12883. doi:10.1111/eos.12883 Peer Reviewed verified by ORBi |
 | Balta, M. G., Schreurs, O., Halder, R., Küntziger, T. M., Saetre, F., Blix, I. J. S., Baekkevold, E. S., Glaab, E., & Schenck, K. (2022). RvD1(n-3 DPA) Downregulates the Transcription of Pro-Inflammatory Genes in Oral Epithelial Cells and Reverses Nuclear Translocation of Transcription Factor p65 after TNF-α Stimulation. International Journal of Molecular Sciences, 23 (23). doi:10.3390/ijms232314878 Peer Reviewed verified by ORBi |
 | Trezzi, J.-P., Aho, V., Jäger, C., Schade, S., Janzen, A., Hickl, O., Kunath, B., Thomas, M., Schmit, K., Garcia, P., Sciortino, A., Martin-Gallausiaux, C., Halder, R., Huarte, O. U., Heurtaux, T., Heins-Marroquin, U., Gomez-Giro, G., Weidenbach, K., Delacour, L., ... Wilmes, P. (2022). An archaeal compound as a driver of Parkinson’s disease pathogenesis. (1). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51987. doi:10.21203/rs.3.rs-1827631/v1 |
 | Pauly, C., Glaab, E., Hansen, M., Martin-Gallausiaux, C., Ledda, M., Marques, T., Wilmes, P., Krüger, R., & Consortium, N.-P. (2022). Parkinson's Disease progression, resilience and inflammation markers during the COVID-19 pandemic. Movement Disorders, in press (doi: 10.1002/mds.29212) (in press). doi:10.1002/mds.29212 Peer Reviewed verified by ORBi |
 | Diaz-Uriarte, R., Gómez de Lope, E., Giugno, R., Fröhlich, H., Nazarov, P., Nepomuceno-Chamorro, I. A., Rauschenberger, A., & Glaab, E. (2022). Ten Quick Tips for Biomarker Discovery and Validation Analyses Using Machine Learning. PLoS Computational Biology, 18 (8), 1010357. doi:10.1371/journal.pcbi.1010357 Peer Reviewed verified by ORBi |
 | Fröhlich, H., Bontridder, N., Petrovska-Delacréta, D., Glaab, E., Kluge, F., Yacoubi, M. E., Marín Valero, M., Corvol, J.-C., Eskofier, B., Van Gyseghem, J.-M., Lehericy, S., Winkler, J., & Klucken, J. (2022). Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease. Frontiers in Neurology, 13, 788427. doi:10.3389/fneur.2022.788427 Peer Reviewed verified by ORBi |
 | Pavelka, L., Rauschenberger, A., Landoulsi, Z., Pachchek, S., Marques, T., Gomes, C., Glaab, E., May, P., Krüger, R., & NCER-PD, C. (2022). Body-First Subtype of Parkinson's Disease with Probable REM-Sleep Behavior Disorder Is Associated with Non-Motor Dominant Phenotype. Journal of Parkinson's Disease. doi:10.3233/JPD-223511 Peer Reviewed verified by ORBi |
 | Pavelka, L., Rauschenberger, A., Landoulsi, Z., Pachchek, S., May, P., Glaab, E., NCER-PD, C., & Krüger, R. (Other coll.). (2022). Age at onset as stratifier in idiopathic Parkinson's disease - effect of ageing and polygenic risk score on clinical phenotypes. NPJ Parkinson's Disease, 9 (8), 102. doi:10.1038/s41531-022-00342-7 Peer Reviewed verified by ORBi |
 | Glaab, E., Manoharan, G. B., & Abankwa, D. (23 August 2021). A Pharmacophore Model for SARS-CoV-2 3CLpro Small Molecule Inhibitors and in Vitro Experimental Validation of Computationally Screened Inhibitors. Journal of Chemical Information and Modeling, 61 (8), 4082-4096. doi:10.1021/acs.jcim.1c00258 Peer Reviewed verified by ORBi |
 | Glaab, E. (13 January 2021). Artificial intelligence in personalized medicine [Paper presentation]. Symposium on Artificial Intelligence in Personaized Medicine, Amsterdam, Netherlands. |
 | Giovagnoni, C., Ali, M., Eijssen, L. M. T., Maes, R., Choe, K., Mulder, M., Kleinjans, J., del Sol, A., Glaab, E., Mastroeni, D., Delvaux, E., Coleman, P., Losen, M., Pishva, E., Martinez, P. M., & van den Hove, D. L. A. (2021). Altered sphingolipid function in Alzheimer's disease; a gene regulatory network approach. Neurobiology of Aging, in press (in press). doi:10.1016/j.neurobiolaging.2021.02.001 Peer Reviewed verified by ORBi |
 | Imm, J., Pishva, E., Ali, M., Kerrigan, T. L., Jeffries, A., Burrage, J., Glaab, E., Allen, N., & Lunnon, K. (2021). Characterization of DNA Methylomic signatures in induced pluripotent stem cells during neuronal differentiation. Frontiers in Cell and Developmental Biology. doi:10.3389/fcell.2021.647981 Peer Reviewed verified by ORBi |
 | Rauschenberger, A., Glaab, E., & van de Wiel, M. (2021). Predictive and interpretable models via the stacked elastic net. Bioinformatics, 37 (14), 2012–2016. doi:10.1093/bioinformatics/btaa535 Peer reviewed |
 | Rauschenberger, A., & Glaab, E. (2021). Predicting correlated outcomes from molecular data. Bioinformatics, 37 (21), 3889–3895. doi:10.1093/bioinformatics/btab576 Peer reviewed |
 | Sieberts, S., Schaff, J., Duda, M., Pataki, B., Sun, M., Snyder, P., Daneault, J., Parisi, F., Costante, G., Rubin, U., Banda, P., Chae, Y., Neto, E., Dorsey, E., Aydin, Z., Chen, A., Elo, L., Espino, C., Glaab, E., ... Omberg, L. (2021). Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digital Medicine, 4 (53). doi:10.1038/s41746-021-00414-7 Peer Reviewed verified by ORBi |
 | Ostaszewski, M., Niarakis, A., Mazein, A., Kuperstein, I., Phair, R., Orta-Resendiz, A., Singh, V., Aghamiri, S. S., Acencio, M. L., Glaab, E., Ruepp, A., Fobo, G., Montrone, C., Brauner, B., Frishman, G., Monraz Gómez, L. C., Somers, J., Hoch, M., Kumar Gupta, S., ... Schneider, R. (2021). COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Molecular Systems Biology, 17 (10), 10387. doi:10.15252/msb.202110387 Peer Reviewed verified by ORBi |
 | Badanjak, K., Mulica, P., Smajic, S., Delcambre, S., Tranchevent, L.-C., Diederich, N., Rauen, T., Schwamborn, J. C., Glaab, E., Cowley, S. A., Antony, P., Pereira, S. L., Venegas, C., & Grünewald, A. (2021). iPSC-Derived Microglia as a Model to Study Inflammation in Idiopathic Parkinson's Disease. Frontiers in Cell and Developmental Biology, 9, 740758. doi:10.3389/fcell.2021.740758 Peer Reviewed verified by ORBi |
 | Czypionka, T., Iftekhar, E., Prainsack, B., Priesemann, V., Bauer, S., Valdez, A. C., Cuschieri, S., Glaab, E., Grill, E., Krutzinna, J., Lionis, C., Machado, H., Martins, C., Pavlakis, G., Perc, M., Petelos, E., Pickersgill, M., Skupin, A., Schernhammer, E., ... Wilmes, P. (2021). The benefits, costs and feasibility of a low incidence COVID-19 strategy. The Lancet Regional Health - Europe, 12 (100193). doi:10.1016/j.lanepe.2021.100294 Peer reviewed |
 | Glaab, E., Rauschenberger, A., Banzi, R., Gerardi, C., Garcia, P., Demotes, J., & PERMIT group. (2021). Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review. BMJ Open, 11 (12), 053674. doi:10.1136/bmjopen-2021-053674 Peer reviewed |
 | Ganzinger, M., Glaab, E., Kerssemakers, J., Nahnsen, S., Sax, U., Schaadt, N. S., Schapranow, M.-P., & Tiede, T. (2021). Biomedical and Clinical Research Data Management. In O. Wolkenhauer, Systems Medicine - Integrative, Qualitative and Computational Approaches (pp. 532-543). Elsevier. doi:10.1016/B978-0-12-801238-3.11621-6 Peer reviewed |
 | Priesemann, V., Balling, R., Bauer, S., Beutels, P., Valdez, A. C., Cuschieri, S., Czypionka, T., Dumpis, U., Glaab, E., Grill, E., Hotulainen, P., Iftekhar, E. N., Krutzinna, J., Lionis, C., Machado, H., Martins, C., McKee, M., Pavlakis, G. N., Perc, M., ... Willeit, P. (2021). The benefits of low COVID-19 incidence in Europe. The Lancet, 398 (10303), 838-839. doi:10.1016/S0140-6736(21)01808-0 Peer reviewed |
 | Iftekhar, E. N., Priesemann, V., Balling, R., Bauer, S., Beutels, P., Valdez, A. C., Cuschieri, S., Czypionka, T., Dumpis, U., Glaab, E., Grill, E., Hanson, C., Hotulainen, P., Klimek, P., Kretzschmar, M., Krüger, T., Krutzinna, J., Low, N., Machado, H., ... Willeit, P. (2021). A look into the future of the COVID-19 pandemic in Europe: an expert consultation. The Lancet Regional Health. Europe, 8 (100185). doi:10.1016/j.lanepe.2021.100185 Peer reviewed |
 | Glaab, E. (02 December 2020). Scoping review on machine learning methods for stratification [Paper presentation]. Personalized Medicine Trials (PERMIT) Workshop. |
 | Acharya, S., Salgado-Somoza, A., Stefanizzi, F. M., Lumley, A. I., Zhang, L., Glaab, E., May, P., & Devaux, Y. (06 September 2020). Non-Coding RNAs in the Brain-Heart Axis: The Case of Parkinson’s Disease. International Journal of Molecular Sciences, 21 (18), 6513. doi:10.3390/ijms21186513 Peer Reviewed verified by ORBi |
 | Hartl, D.* , May, P.* , Gu, W.* , Mayhaus, M., Pichler, S., Spaniol, C., Glaab, E., Bobbili, D. R., Antony, P., Köglsberger, S., Kurz, A., Grimmer, T., Morgan, K., Vardarajan, B. N., Reitz, C., Hardy, J., Bras, J., Guerreiro, R., AESG, ... Riemenschneider, M. (09 July 2020). A rare loss-of function variant of ADAM17 is associated with late-onset familial Alzheimer disease. Molecular Psychiatry, 25 (3), 629-639. doi:10.1038/s41380-018-0091-8 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Hendrickx, D. M., & Glaab, E. (2020). Comparative transcriptome analysis of Parkinson’s disease and Hutchinson-Gilford progeria syndrome reveals shared susceptible cellular network processes. BMC Medical Genomics, 13 (114). doi:10.1186/s12920-020-00761-6 Peer Reviewed verified by ORBi |
 | DeBenedictis, M., Gindzin, Y., Glaab, E., & Anand-Apte, B. (2020). A novel TIMP3 mutation associated with a retinitis pigmentosa-like phenotype. Ophthalmic Genetics, 41 (5), 480-484. doi:10.1080/13816810.2020.1795889 Peer Reviewed verified by ORBi |
 | Greuel, A., Trezzi, J.-P., Glaab, E., Ruppert, M. C., Maier, F., Jäger, C., Hodak, Z., Lohmann, K., Yilong, M., Eidelberg, D., Timmermann, L., Hiller, K., Tittgemeyer, M., Drzezga, A., Diederich, N., & Eggers, C. (2020). GBA variants in Parkinson’s disease: clinical, metabolomic and multimodal neuroimaging phenotypes. Movement Disorders, 35 (12), 2201-2210. doi:10.1002/mds.28225 Peer Reviewed verified by ORBi |
 | Hendrickx, D. M., Garcia, P., Ashrafi, A., Sciortino, A., Schmit, K., Kollmus, H., Nicot, N., Kaoma, T., Vallar, L., Buttini, M., & Glaab, E. (2020). A new synuclein-transgenic mouse model for early Parkinson's reveals molecular features of preclinical disease. Molecular Neurobiology, 58, 576-602. doi:10.1007/s12035-020-02085-z Peer Reviewed verified by ORBi |
 | Tanevski, J., Nguyen, T., Truong, B., Karaiskos, N., Eren, M., Zhang, X., Shu, C., Hu, Y., Pham, H. V. V., Li, X., Le, T., Tarca, A., Bhatti, G., Romero, R., Karathanasis, N., Loher, P., Chen, Y., Ouyang, Z., Mao, D., ... Saez-Rodriguez, J. (2020). Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics. Life Science Alliance, 3 (11), 202000867. doi:10.26508/LSA.202000867 Peer Reviewed verified by ORBi |
 | Boussaad, I., Obermaier, C. D., Hanss, Z., Bobbili, D. R., Bolognin, S., Glaab, E., Wołyńska, K., Weisschuh, N., De Conti, L., May, C., Giesert, F., Grossmann, D., Lambert, A., Kirchen, S., Biryukov, M., Burbulla, L. F., Massart, F., Bohler, J., Cruciani, G., ... Krüger, R. (2020). A patient-based model of RNA mis-splicing uncovers treatment targets in Parkinson's disease. Science Translational Medicine, 12 (560). doi:10.1126/scitranslmed.aau3960 Peer Reviewed verified by ORBi |
 | Berenguer, C., Grossmann, D., Massart, F., Antony, P., Burbulla, L., Glaab, E., Imhoff, S., Trinh, J., Seibler, P., Grünewald, A., & Krüger, R. (2019). Variants in Miro1 cause alterations of ER-mitochondria contact sites in fibroblasts from Parkinson's disease patients. Journal of Clinical Medicine. doi:10.3390/jcm8122226 Peer Reviewed verified by ORBi |
 | Glaab, E. (01 November 2019). Computational analysis of molecular network perturbations in complex diseases [Paper presentation]. Digital possibilities in research, Oslo, Norway. |
 | Grossmann, D., Berenguer, C., Bellet, M. E., Scheibner, D., Bohler, J., Massart, F., Rapaport, D., Skupin, A., Fouquier d'Hérouël, A., Sharma, M., Ghelfi, J., Rakovic, A., Lichtner, P., Antony, P., Glaab, E., May, P., Dimmer, K. S., Fitzgerald, J. C., Grünewald, A., & Krüger, R. (2019). Mutations in RHOT1 disrupt ER-mitochondria contact sites interfering with calcium homeostasis and mitochondrial dynamics in Parkinson's disease. Antioxidants & redox signaling. doi:10.1089/ars.2018.7718 Peer reviewed |
 | Glaab, E., Antony, P., Köglsberger, S., Forster, J. I., Cordero-Maldonado, M. L., Crawford, A., Garcia, P., & Buttini, M. (2019). Transcriptome profiling data reveals Ubiquitin-Specific Peptidase 9 knockdown effects. Data in Brief, 25 (1), 104130. doi:10.1016/j.dib.2019.104130 Peer Reviewed verified by ORBi |
 | Glaab, E. (January 2019). Machine learning analysis of metabolomics and neuro-imaging data for Parkinson’s disease [Paper presentation]. PD-Strat meeting, Tuebingen, Germany. |
 | Glaab, E. (2019). Algorithmic improvement of public cellular pathway and process definitions [Paper presentation]. PD-Strat meeting, Belval, Luxembourg. |
 | Hertel, J., Harms, A. C., Heinken, A., Baldini, F., Thinnes, C. C., Glaab, E., Vasco, D., Pietzner, M., Stewart, I. D., Wareham, N. J., Langenberg, C., Trenkwalder, C., Krüger, R., Hankemeier, T., Fleming, R. M. T., Mollenhauer, B., & Thiele, I. (2019). Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease. Cell Reports, 29 (7), 1767-1777. doi:10.1016/j.celrep.2019.10.035 Peer Reviewed verified by ORBi |
 | Glaab, E., Trezzi, J.-P., Greuel, A., Jäger, C., Hodak, Z., Drzezga, A., Timmermann, L., Tittgemeyer, M., Diederich, N. J., & Eggers, C. (2019). Integrative analysis of blood metabolomics and PET brain neuroimaging data for Parkinson's disease. Neurobiology of Disease, 124 (1), 555-562. doi:10.1016/j.nbd.2019.01.003 Peer Reviewed verified by ORBi |
 | Zhang, Z., Jung, P., Groues, V., May, P., Linster, C., & Glaab, E. (2019). BSA4Yeast: Web-based quantitative trait locus linkage analysis and bulk segregant analysis of yeast sequencing data. GigaScience, 8 (6), 060. doi:10.1093/gigascience/giz060 Peer Reviewed verified by ORBi |
 | Nickels, S., Walter, J., Bolognin, S., GERARD, D., Jäger, C., Qing, X., Tisserand, J., Jarazo, J., Hemmer, K., Harms, A., Halder, R., Lucarelli, P., Berger, E., Antony, P., Glaab, E., Hankemeier, T., Klein, C., Sauter, T., Sinkkonen, L., & Schwamborn, J. C. (2019). Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients. Parkinsonism and Related Disorders. doi:10.1016/j.parkreldis.2019.09.018 Peer Reviewed verified by ORBi |
 | Bolognin, S., Fossépré, M., Qing, X., Jarazo, J., Ščančar, J., Lucumi Moreno, E., Nickels, S., Wasner, K., Ouzren, N., Walter, J., Grünewald, A., Glaab, E., Salamanca, L., Fleming, R. M. T., Antony, P., & Schwamborn, J. C. (2018). 3D Cultures of Parkinson's Disease‐Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing. Advanced Science. doi:10.1002/advs.201800927 Peer Reviewed verified by ORBi |
 | Glaab, E., Trezzi, J.-P., Greuel, Jäger, C., Hodak, Z., Timmermann, L., Tittgemeyer, M., Diederich, N. J., & Eggers, C. (08 October 2018). Combining PET imaging and blood metabolomics data to improve machine learning models for Parkinson’s disease diagnosis [Poster presentation]. 2018 International Congress of the International Parkinson and Movement Disorders Society, Esch-sur-Alzette, Luxembourg. |
 | Glaab, E. (16 July 2018). Integrative analysis of mitochondrial changes in Parkinson’s disease [Paper presentation]. MitoPD Meeting, Tuebingen, Germany. |
 | Glaab, E. (July 2018). Computational systems biology approaches for Parkinson's disease. Cell and Tissue Research, 373 (1), 91–109. doi:10.1007/s00441-017-2734-5 Peer Reviewed verified by ORBi |
 | Glaab, E. (28 June 2018). Combined analysis of neuroimaging and metabolomics data for Parkinson’s disease [Paper presentation]. MetimagPD, Cologne, Germany. doi:10.1016/j.nbd.2019.01.003 |
 | Nyffeler, J., Chovancova, P., Dolde, X., Holzer, A.-K., Purvanov, V., Kindinger, I., Kerins, A., Higton, D., Silvester, S., van Vugt-Lussenburg, B. M. A., Glaab, E., van der Burg, B., Maclennan, R., Legler, D. F., & Leist, M. (March 2018). A structure-activity relationship linking non-planar PCBs to functional deficits of neural crest cells: new roles for connexins. Archives of Toxicology, 92 (3), 1225–1247. doi:10.1007/s00204-017-2125-4 Peer Reviewed verified by ORBi |
 | Trezzi, J.-P., Greuel, A., Glaab, E., Hodak, Z., Timmermann, L., Jäger, C., Diederich, N., & Eggers, C. (2018). Combining Metabolomics and Neuroimaging in mid-stage Parkinson’s Disease. A Proof of Concept for Cross-Fertilization. Neurology, 90 (15), 3066. Peer Reviewed verified by ORBi |
 | Greuel, A., Trezzi, J.-P., Glaab, E., Jäger, C., Hodak, Z., Lohmann, K., Klein, C., Timmermann, L., Drzezga, A., Tittgemeyer, M., Diederich, N., & Eggers, C. (2018). FDG-PET and metabolomics in PD-associated GBA variants. Movement Disorders, 33 (2), 599. Peer Reviewed verified by ORBi |
 | Köglsberger, S., Cordero Maldonado, M. L., Antony, P., Forster, J., Garcia, P., Buttini, M., Crawford, A. D., & Glaab, E. (December 2017). Gender-specific expression of ubiquitin-specific peptidase 9 modulates tau expression and phosphorylation: possible implications for tauopathies. Molecular Neurobiology, 54 (10), 7979–7993. doi:10.1007/s12035-016-0299-z Peer Reviewed verified by ORBi |
 | Ashrafi, A., Garcia, P., Kollmus, H., Schughart, K., del Sol Mesa, A., Buttini, M., & Glaab, E. (October 2017). Absence of regulator of G-protein signaling 4 does not protect against dopamine neuron dysfunction and injury in the mouse 6-hydroxydopamine lesion model of Parkinson's disease. Neurobiology of Aging, 58, 30-33. doi:10.1016/j.neurobiolaging.2017.06.008 Peer Reviewed verified by ORBi |
 | Fitzgerald, J. C., Zimprich, A., Carvajal-Berrio, D. A., Schindler, K. M., Maurer, B., Schulte, C., Bus, C., Hauser, A.-K., Kübler, M., Lewin, R., Bobbili, D. R., Schwarz, L. M., Vartholomaiou, E., Brockmann, K., Wüst, R., Madlung, J., Nordheim, A., Riess, O., Martins, L. M., ... Krüger, R. (24 August 2017). Metformin reverses TRAP1 mutation-associated alterations in mitochondrial function in Parkinson's disease. Brain: a Journal of Neurology, 140 (9), 2444-2459. doi:10.1093/brain/awx202 Peer Reviewed verified by ORBi |
 | Blauwendraat, C., Faghri, F., Pihlstrom, L., Geiger, J. T., Elbaz, A., Lesage, S., May, P., Aude, N., Abramzon, Y., Murphy, N. A., Gibbs, J. R., Ryten, M., Ferrari, R., Bras, J., Guerreiro, R., Williams, J., Sims, R., Lubbe, S., Hernandez, D. G., ... Scholz, S. W. (2017). NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases. Neurobiology of Aging. doi:10.1016/j.neurobiolaging.2017.05.009 Peer Reviewed verified by ORBi |
 | Glaab, E. (2017). Integrative analysis of mitochondrial molecular changes in Parkinson’s disease [Paper presentation]. MitoPD Meeting, Germany. |
 | Singh, C., Glaab, E., & Linster, C. (2017). Molecular Identification of D-Ribulokinase in Budding Yeast and Mammals. Journal of Biological Chemistry, 292 (3), 1005-1028. doi:10.1074/jbc.M116.760744 Peer Reviewed verified by ORBi |
 | Glaab, E. (2017). Biomedical Data Science at LCSB [Paper presentation]. Biomedicine Vision Meeting 2017, Luxembourg, Luxembourg. |
 | Glaab, E. (2017). Quantitative feature extraction for machine learning analysis of resting-state fMRI data [Paper presentation]. MetimagPD Meeting, Esch-sur-Alzette, Luxembourg. |
 | Hartl, D., May, P., Gu, W., Mayhaus, M., Glaab, E., Antony, P., Bobbili, D. R., Köglsberger, S., Pichler, S., Spaniol, C., Kurz, A., Balling, R., Schneider, J., & Riemenschneider, M. (2017). IDENTIFICATION OF A RARE GENE VARIANT THAT IS ASSOCIATED WITH FAMILIAL ALZHEIMER DISEASE AND REGULATES APP EXPRESSION. Alzheimer's and Dementia: the Journal of the Alzheimer's Association, 13 (7, Supplement), 648. doi:10.1016/j.jalz.2017.06.758 Peer reviewed |
Glaab, E. (07 October 2016). Analysis of protein druggability in the alpha-synuclein regulatory network [Paper presentation]. 3rd International Parkinson's Disease Symposium. |
 | Greenhalgh, K., Fritz, J., Letellier, E., Frachet Bour, A., Baginska, J., Shah, P., Desai, M., Glaab, E., Jäger, C., Haan, S., & Wilmes, P. (June 2016). A study of the molecular mechanisms underlying the response of human colorectal adenomacarcinoma enterocytes to prebiotics and probiotics [Poster presentation]. ISAPP conference. |
 | Glaab, E. (09 May 2016). Integrating prior biological knowledge into omics data analysis [Paper presentation]. Machine Learning Workshop, Oslo, Norway. |
 | Kleiderman, S., Sá, J., Teixeira, A., Brito, C., Gutbier, S., Evje, L., Hadera, M., Glaab, E., Henry, M., Agapios, S., Alves, P., Sonnewald, U., & Leist, M. (2016). Functional and phenotypic differences of pure populations of stem cell-derived astrocytes and neuronal precursor cells. Glia, 64 (5), 695-715. doi:10.1002/glia.22954 Peer Reviewed verified by ORBi |
 | Glaab, E. (2016). Modelling gender-specific regulation of tau in Alzheimer’s disease [Paper presentation]. Luxembourg Centre for Systems Biomedicine Annual Donor Thank You Event 2016. |
 | Shah, P., Fritz, J., Glaab, E., Desai, M. S., Greenhalgh, K., Frachet Bour, A., Niegowska, M., Estes, M., Jäger, C., Seguin-Devaux, C., Zenhausern, F., & Wilmes, P. (2016). A microfluidics-based in vitro model of the gastrointestinal human-microbe interface. Nature Communications, 7, 11535. doi:10.1038/ncomms11535 Peer Reviewed verified by ORBi |
 | Kleiderman, S., Gutbier, S., Tufekci, K. U., Ortega, F., Sá, J. V., Teixeira, A. P., Brito, C., Glaab, E., Berninger, B., Alves, P. M., & Leist, M. (2016). Conversion of non-proliferating astrocytes into neurogenic neural stem cells: control by FGF2 and IFN-gamma. Stem Cells, 34 (12), 2861–2874. doi:10.1002/stem.2483 Peer Reviewed verified by ORBi |
 | Ashrafi, A., Buttini, M., Garcia, P., del Sol Mesa, A., & Glaab, E. (2016). Exploring therapeutic viability of a non-dopaminergic target for Parkinson’s disease. Movement Disorders, 31 (2), 630. Peer Reviewed verified by ORBi |
 | Casadei, N., Sood, P., Ulrich, T., Kieper, N., Helling, S., May, C., Glaab, E., Chen, J., Nuber, S., Marcus, K., Rapaport, D., Ott, T., Riess, O., Krüger, R., & Fitzgerald, J. (2016). Mitochondrial Defects and Neurodegeneration in Mice Overexpressing Wild Type or G399S Mutant HtrA2. Human Molecular Genetics, 25 (3), 459-71. doi:10.1093/hmg/ddv485 Peer Reviewed verified by ORBi |
 | Maes, Nowak, G., Caso, J., Leza, J. C., Song, C., Kubera, M., Klein, H., Galecki, P., Noto, C., Glaab, E., Balling, R., & Berk, M. (2016). Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research. Molecular Neurobiology, 53 (5), 2927-2935. doi:10.1007/s12035-015-9183-5 Peer reviewed |
 | Allen, G., Amoroso, N., Anghel, C., Balagurusamy, V., Bare, C., Beaton, D., Bellotti, R., Bennett, D., Boehme, K., Caberlotto, L., Campbell, F., Chang, Y.-C., Chen, B., Chen, C.-Y., Chien, T.-Y., Clark, T., Das, S., Davatzikos, C., Deng, J., ... Alzheimer's Disease Neuroimaging Initiative. (2016). Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer's and Dementia: the Journal of the Alzheimer's Association, 12 (6), 645-653. doi:10.1016/j.jalz.2016.02.006 Peer reviewed |
 | Birck, C., Koncina, E., Heurtaux, T., Glaab, E., Michelucci, A., Heuschling, P., & Grandbarbe, L. (10 November 2015). Transcriptomic analyses of primary astrocytes under TNFα treatment. Genomics Data, 7, 7-11. doi:10.1016/j.gdata.2015.11.005 Peer Reviewed verified by ORBi |
 | Gabel, S., Koncina, E., Dorban, G., Heurtaux, T., Birck, C., Glaab, E., Michelucci, A., Heuschling, P., & Grandbarbe, L. (17 September 2015). Inflammation Promotes a Conversion of Astrocytes into Neural Progenitor Cells via NF-κB Activation. Molecular Neurobiology, 53 (8), 5041-5055. doi:10.1007/s12035-015-9428-3 Peer reviewed |
 | Glaab, E. (2015). Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification. Briefings in Bioinformatics, 1-13. doi:10.1093/bib/bbv044 Peer Reviewed verified by ORBi |
 | Glaab, E. (2015). Building a virtual ligand screening pipeline using free software: a survey. Briefings in Bioinformatics, 1-15. doi:10.1093/bib/bbv037 Peer reviewed |
 | Glaab, E., & Schneider, R. (15 June 2015). Shared alterations in the human brain transcriptome during adult aging and in Parkinson's disease [Poster presentation]. EMBO Symposium on Mechanisms of Neurodegeneration 2015, Heidelberg, Germany. |
 | Glaab, E., & Schneider, R. (February 2015). Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson's disease. Neurobiology of Disease, 74, 1-13. doi:10.1016/j.nbd.2014.11.002 Peer Reviewed verified by ORBi |
 | Jäger, C.* , Glaab, E.* , Michelucci, A.* , Binz, T., Köglsberger, S., Garcia, P., Trezzi, J.-P., Ghelfi, J., Balling, R., & Buttini, M. (2015). The Mouse Brain Metabolome: Region-Specific Signatures and Response to Excitotoxic Neuronal Injury. American Journal of Pathology, 185 (6), 1699-1712. doi:10.1016/j.ajpath.2015.02.016 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Glaab, E., & Schneider, R. (2015). RepExplore: Addressing technical replicate variance in proteomics and metabolomics data analysis. Bioinformatics, 31 (13), 2235. doi:10.1093/bioinformatics/btv127 Peer reviewed |
 | Righetti, K., Vu, J. L., Pelletier, S., Vu, B. L., Glaab, E., Lalanne, D., Pasha, A., Patel, R. V., Provart, N., Verdier, J., & Leprince, O. (2015). Inference of longevity-related genes from a robust co-expression network of seed maturation identifies new regulators linking seed storability to biotic defense-related pathways. Plant Cell, 27 (10), 2692-2708. doi:10.1105/tpc.15.00632 Peer Reviewed verified by ORBi |
 | Vlassis, N., & Glaab, E. (2015). GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net. Statistical Applications in Genetics and Molecular Biology, 14 (2), 221-224. doi:10.1515/sagmb-2014-0045 Peer Reviewed verified by ORBi |
Kolodkin, A., Ignatenko, A., Sangar, V., Simeonidis, V., Glaab, E., Peters, B., Brady, N., Price, N., & Balling, R. (October 2014). ROS-management in Parkinson’s disease: Dynamic blue-print domino-based model and design principles study. Dynamic modelling of ROS management and ROS-induced mitophagy [Poster presentation]. GFG Neurogenetics Conference & PD Symposium, Munsbach, Luxembourg. |
 | Glaab, E. (01 October 2014). Integrated bioinformatics analysis of functional omics and GWAS data for neurodegenerative disorders [Paper presentation]. 45th Annual Conference of the German Society for Genetics. |
Kolodkin, A., Ignatenko, A., Sangar, V., Glaab, E., Peters, B., Price, N., Brady, N., & Balling, R. (June 2014). Dynamic modelling of ROS management and ROS-induced mitophagy [Poster presentation]. Gordon workshop on Cell Death Mechanisms, West Dover, United States. |
 | Fujita, K. A., Ostaszewski, M., Matsuoka, Y., Ghosh, S., Glaab, E., Trefois, C., Crespo, I., Perumal, T. M., Jurkowski, W., Antony, P., Diederich, N., Buttini, M., Kodama, A., Satagopam, V., Eifes, S., del Sol Mesa, A., Schneider, R., Kitano, H., & Balling, R. (2014). Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map. Molecular Neurobiology. doi:10.1007/s12035-013-8489-4 Peer Reviewed verified by ORBi |
 | Glaab, E., & Schneider, R. (2014). Addressing Technical Replicate Variance in Omics Data Analysis [Poster presentation]. Benelux Bioinformatics Conference 2014. |
Heintz, A., May, P., Lebrun, L., Ferrand, J., Trezzi, J.-P., Collignon, S., Wampach, L., Glaab, E., Laczny, C. C., Martins Conde, P., Kaysen, A., Schneider, J., Hiller, K., Hogan, A., Wilmes, P., & de Beaufort, C. (October 2013). Meta-omic Analyses of the Microbiome in a Family Study of Diabetes Mellitus [Poster presentation]. 2nd International Systems Biomedicine Symposium, Belval, Luxembourg. |
 | Ostaszewski, M., Fujita, K., Matsuoka, Y., Ghosh, S., Glaab, E., Trefois, C., Crespo, I., Perumal, T. M., Jurkowski, W., Antony, P., Diederich, N., Buttini, M., Kolodkin, A., Kodama, A., Satagopam, V., Biryukov, M., Eifes, S., del Sol Mesa, A., Schneider, R., ... Balling, R. (09 March 2013). The Parkinson's Disease Map: A Framework for Integration, Curation and Exploration of Disease-related Pathways [Poster presentation]. The 11th International Conference on Alzheimer's & Parkinson's Diseases, Florence, Italy. |
 | Chaiboonchoe, A., Jurkowski, W., Pellet, J., Glaab, E., Kolodkin, A., Raussel, A., Le Béchec, A., Ballereau, S., Meyniel, L., Crespo, I., Ahmed, H., Volpert, V., Lotteau, V., Baliga, N., Hood, L., Sol, A. D., Balling, R., & Auffray, C. (2013). On different aspects of network analysis in systems biology. Systems Biology, 1, 181-207. doi:10.1007/978-94-007-6803-1_6 Peer reviewed |
 | Ballereau, S., Glaab, E., Kolodkin, A., Chaiboonchoe, A., Biryukov, M., Vlassis, N., Ahmed, H., Pellet, J., Baliga, N., Hood, L., Schneider, R., Balling, R., & Auffray, C. (2013). Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology. In A. Prokop & B. Csukás (Eds.), Systems Biology: Integrative Biology and Simulation Tools. Springer. doi:10.1007/978-94-007-6803-1_1 Peer reviewed |
 | Chaiboonchoe, A., Jurkowski, W., Pellet, J., Glaab, E., Kolodkin, A., Raussel, A., Le Béchec, A., Meyniel, L., Ballereau, S., Crespo, I., Ahmed, H., Volpert, V., Lotteau, V., Baliga, N., Hood, L., del Sol, A., Balling, R., & Auffray, C. (2013). Network analysis for systems biology. In A. Prokop & Csukás (Eds.), Springer book in Systems Biology, Vol.1: Systems Biology:, Integrative Biology and Simulation Tools (Springer book in Systems Biology, Vol.1). Springer. doi:10.1007/978-94-007-6803-1 Peer reviewed |
 | Muller, E., Glaab, E., May, P., Vlassis, N., & Wilmes, P. (2013). Condensing the omics fog of microbial communities. Trends in Microbiology, 21 (7), 325–333. doi:10.1016/j.tim.2013.04.009 Peer reviewed |
 | Vlassis, N., & Glaab, E. (2013). Network deregulation analysis in complex diseases via the pairwise elastic net. In Proc 8th BeNeLux Bioinformatics Conference. doi:10.1515/sagmb-2014-0045 Peer reviewed |
Trefois, C., Fujita, A. K., Ostaszewski, M., Matsuoka, Y., Ghosh, S., Glaab, E., Crespo, I., Perumal, T. M., Jurkowski, W., Antony, P., Diederich, N., Buttini, M., Kodama, A., Satagopam, V., Eifes, S., del Sol Mesa, A., Schneider, R., Kitano, H., & Balling, R. (August 2012). Constructing a comprehensive map of Parkinson’s disease to elucidate underlying mechanisms of its multifaceted molecular pathology [Poster presentation]. The 13th International Conference on Systems Biology. |
 | Glaab, E., Baudot, A., Krasnogor, N., Schneider, R., & Valencia, A. (2012). EnrichNet: network-based gene set enrichment analysis. Bioinformatics, 28 (18), 451-i457. doi:10.1093/bioinformatics/bts389 Peer reviewed |
 | Glaab, E., & Schneider, R. (2012). PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data. Bioinformatics, 446-447. doi:10.1093/bioinformatics/btr656 Peer reviewed |
 | Glaab, E., Bacardit, J., Garibaldi, J. M., & Krasnogor, N. (2012). Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7 (7), 39932 - 39932. doi:10.1371/journal.pone.0039932 Peer Reviewed verified by ORBi |
 | Bassel, G. W., Glaab, E., Marquez, J., Holdsworth, M. J., & Bacardit, J. (2011). Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets. Plant Cell, 1-17. doi:10.1105/tpc.111.088153 Peer Reviewed verified by ORBi |
 | Gardner, D. S., Rhodes, P., Karamitri, A., Glaab, E., & Rhind, S. M. (2011). A low protein diet during early gestation in sheep detrimentally impacts hepatic glucose metabolism in the adult offspring. In Proceedings of the Nutrition Society 2011 (pp. 196). Cambridge University Press. doi:10.1017/S0029665111002473 Peer reviewed |
 | Habashy, H. O., Powe, D. G., Glaab, E., Ball, G., Spiteri, I., Krasnogor, N., Garibaldi, J. M., Rakha, E. A., Green, A. R., Caldas, C., & Ellis, I. O. (2011). RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype. Breast Cancer Research and Treatment, 128 (2), 315-326. doi:10.1007/s10549-010-1073-y Peer reviewed |
 | Bassel, G. W., Lanc, H., Glaab, E., Gibbs, D. J., Gerjets, T., Krasnogor, N., Bonner, A. J., Holdsworth, M. J., & Provart, N. J. (2011). A genome-wide network model capturing seed germination reveals co-ordinated regulation of plant cellular phase transitions. Proceedings of the National Academy of Sciences of the United States of America, 108 (23), 9709-9714. doi:10.1073/pnas.1100958108 Peer Reviewed verified by ORBi |
 | Glaab, E., Garibaldi, J. M., & Krasnogor, N. (2010). VRMLGen: An R package for 3D Data Visualization on the Web. Journal of Statistical Software, 36 (8), 1-18. doi:10.18637/jss.v036.i08 Peer Reviewed verified by ORBi |
 | Glaab, E., Baudot, A., Krasnogor, N., & Valencia, A. (2010). TopoGSA: network topological gene set analysis. Bioinformatics, 26 (9), 1271-1272. doi:10.1093/bioinformatics/btq131 Peer reviewed |
 | Glaab, E., Garibaldi, J. M., & Krasnogor, N. (2010). Learning pathway-based decision rules to classify microarray cancer samples. In German Conference on Bioinformatics 2010, Lecture Notes in Informatics (LNI) (pp. 123-134). Peer reviewed |
 | Glaab, E., Clutterbuck, L., Bacardit, J., Wood, A. T., & Mobasheri, A. (2010). Combining chondrocyte gene expression, literature mining and pathway/network analysis to extract biological insights from small-scale microarray data. Osteoarthritis and Cartilage, 18 (2), 169. doi:10.1016/S1063-4584(10)60411-6 Peer Reviewed verified by ORBi |
 | Habashy, H. O., Powe, D. G., Ball, G., Glaab, E., Soria, D., Garibaldi, J., Krasnogor, N., Green, A. R., Caldas, C., & Ellis, I. O. (2010). Luminal-like oestrogen receptor-positive breast cancer: identification of prognostic biological subclasses. European Journal of Cancer Supplements, 8 (3), 91. doi:10.1016/S1359-6349(10)70143-9 Peer reviewed |
 | Glaab, E., Baudot, A., Krasnogor, N., & Valencia, A. (2010). Extending pathways and processes using molecular interaction networks to analyse cancer genome data. BMC Bioinformatics, 11 (1), 597-597. doi:10.1186/1471-2105-11-597 Peer Reviewed verified by ORBi |
 | Glaab, E., Garibaldi, J. M., & Krasnogor, N. (2009). ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. BMC Bioinformatics, 10 (1), 358-358. doi:10.1186/1471-2105-10-358 Peer Reviewed verified by ORBi |
