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Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states

Title:	Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states
Authors:	Włodarczyk, Tomasz^Aff1; Lun, Aaron^Aff1; Wu, Diana^Aff2; Shi, Minyi^Aff3; Ye, Xiaofen^Aff2; Menon, Shreya^{Aff4, Aff5, Aff6}; Toneyan, Shushan^Aff1; Seidel, Kerstin^Aff2; Wang, Liang^Aff2; Tan, Jenille^Aff2; Chen, Shang-Yang^Aff1; Keyes, Timothy^Aff1; Chlebowski, Aleksander^Aff1; Waddell, Adrian^Aff1; Zhou, Wei^Aff2; Wang, Yangmeng^Aff7; Yuan, Qiuyue^Aff8; Guo, Yu^{Aff1, Aff9}; Chen, Liang-Fu^Aff2; Daniel, Bence^Aff3; Hafner, Antonina^Aff2; He, Meng^Aff7; Chibly, Alejandro^{Aff1, Aff2}; Liang, Yuxin^Aff3; Duren, Zhana^{Aff8, Aff10}; Metcalfe, Ciara^Aff2; Hafner, Marc^{Aff1, Aff2}; Siebel, Christian W.^{Aff2, Aff11}; Corces, M. Ryan^{Aff4, Aff5, Aff6}; Yauch, Robert^{Aff2, IDs41467025622525_cor1}; Xie, Shiqi^{Aff2, IDs41467025622525_cor2}; Yao, Xiaosai^{Aff1, Aff2, IDs41467025622525_cor3}
Source:	Nature Communications. 16(1)
Database:	Springer Nature Journals