Inference of gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations
Masato Ishikawa, Seiichi Sugino, Yoshie Masuda, Yusuke Tarumoto, Yusuke Seto, Nobuko Taniyama, Fumi Wagai, Yuhei Yamauchi, Yasuhiro Kojima, Hisanori Kiryu, Kosuke Yusa, Mototsugu Eiraku, Atsushi Mochizuki
This paper introduces RENGE, a method for inferring gene regulatory networks from time-series scCRISPR data, which outperforms existing methods and produces GRNs consistent with known databases.
bioRxiv · Aug 23, 2023 · PreprintBioinformatics