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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Библиографические подробности

Главные авторы:	Stefano Magni, Rucha Sawlekar, Christophe M. Capelle, Vera Tslaf, Alexandre Baron, Ni Zeng, Laurent Mombaerts, Zuogong Yue, Ye Yuan, Feng Q. Hefeng, Jorge Gonçalves
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2024-05-01
Серии:	npj Systems Biology and Applications
Online-ссылка:	https://doi.org/10.1038/s41540-024-00387-9
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