Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data

Abstract The discovery of upstream regulatory genes of a gene of interest still remains challenging. Here we applied a scalable computational method to unbiasedly predict candidate regulatory genes of critical transcription factors by searching the whole genome. We illustrated our approach with a ca...

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Hlavní autoři:	Stefano Magni, Rucha Sawlekar, Christophe M. Capelle, Vera Tslaf, Alexandre Baron, Ni Zeng, Laurent Mombaerts, Zuogong Yue, Ye Yuan, Feng Q. Hefeng, Jorge Gonçalves
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2024-05-01
Edice:	npj Systems Biology and Applications
On-line přístup:	https://doi.org/10.1038/s41540-024-00387-9
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