Reference : Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulato...
E-prints/Working papers : Already available on another site
Life sciences : Biochemistry, biophysics & molecular biology
Systems Biomedicine
http://hdl.handle.net/10993/42502
Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulatory T cells
English
Sawlekar, Rucha mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Magni, Stefano mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Chapelle, Christophe mailto [Luxembourg Institue of Health]
Baron, Alexandre [Luxembourg Institue of Health]
Ni, Zeng [Luxembourg Institue of Health]
Mombaerts, Laurent mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Yue, Zuogong mailto [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 mailto [> > > Luxembourg Institute of Health]
Goncalves, Jorge mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
2020
No
http://hdl.handle.net/10993/42502
10.1101/2020.02.13.943688
https://www.biorxiv.org/content/10.1101/2020.02.13.943688v1?rss=1
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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