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 ![]() | |
Magni, Stefano ![]() | |
Chapelle, Christophe ![]() | |
Baron, Alexandre [Luxembourg Institue of Health] | |
Ni, Zeng [Luxembourg Institue of Health] | |
Mombaerts, Laurent ![]() | |
Yue, Zuogong ![]() | |
Ye, Yuan [> > > School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China] | |
He, Feng ![]() | |
Goncalves, Jorge ![]() | |
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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