Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulatory T cells

Reference : Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulato...


	Document type :	E-prints/Working papers : Already available on another site
	Discipline(s) :	Life sciences : Biochemistry, biophysics & molecular biology
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/42502

Title :	Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulatory T cells
Language :	English
Author, co-author :	Sawlekar, Rucha [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Magni, Stefano [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Chapelle, Christophe [Luxembourg Institue of Health]
	Baron, Alexandre [Luxembourg Institue of Health]
	Ni, Zeng [Luxembourg Institue of Health]
	Mombaerts, Laurent [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Yue, Zuogong [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Life Science Research Unit >]
	Ye, Yuan [> > > School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China]
	He, Feng [> > > Luxembourg Institute of Health]
	Goncalves, Jorge [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	2020
Peer reviewed :	No
Permalink :	http://hdl.handle.net/10993/42502
DOI :	10.1101/2020.02.13.943688
source URL :	https://www.biorxiv.org/content/10.1101/2020.02.13.943688v1?rss=1
FnR project :	FnR ; FNR8231540 > Jorge Gonçalves > GeDES > Genome-wide dynamical modelling differentially-regulated systems with application to the human T cell response > 01/09/2015 > 31/08/2018 > 2014

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