Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states
T
Tomasz Włodarczyk
A
Aaron Lun
D
Diana Wu
(Department of Molecular Discovery and Cancer Cell Biology, Genentech)
M
Minyi Shi
(Department of Genetics, Stanford School of Medicine, Stanford, CA, USA.)
X
Xiaofen Ye
S
Shreya Menon
S
Shushan Toneyan
K
Kerstin Seidel
L
Liang Wang
J
Jenille Tan
S
Shang-Yang Chen
T
Timothy Keyes
A
Aleksander Chlebowski
A
Adrian Waddell
W
Wei Zhou
Y
Yangmeng Wang
Q
Qiuyue Yuan
Y
Yu Guo
L
Liang-Fu Chen
B
Bence Daniel
(Department of Pathology, Stanford University)
A
Antonina Hafner
M
Meng He
(European Synchrotron Radiation Facility)
A
Alejandro Chibly
Y
Yuxin Liang
Z
Zhana Duren
C
Ciara Metcalfe
M
Marc Hafner
C
Christian W. Siebel
M
M. Ryan Corces
R
Robert Yauch
S
Shiqi Xie
(Department of Molecular Discovery and Cancer Cell Biology, Genentech)
X
Xiaosai Yao
Article Details
Journal
Nature Communications
Volume / Issue
Vol. 16, Issue 1
Published
August 02, 2025
ISSN
2041-1723
Publisher
Nature Portfolio
Authors (32)
T
Tomasz Włodarczyk
A
Aaron Lun
D
Diana Wu
Department of Molecular Discovery and Cancer Cell Biology, Genentech
M
Minyi Shi
Department of Genetics, Stanford School of Medicine, Stanford, CA, USA.
X
Xiaofen Ye
S
Shreya Menon
S
Shushan Toneyan
K
Kerstin Seidel
L
Liang Wang
J
Jenille Tan
S
Shang-Yang Chen
T
Timothy Keyes
A
Aleksander Chlebowski
A
Adrian Waddell
W
Wei Zhou
Y
Yangmeng Wang
Q
Qiuyue Yuan
Y
Yu Guo
L
Liang-Fu Chen
B
Bence Daniel
Department of Pathology, Stanford University
A
Antonina Hafner
M
Meng He
European Synchrotron Radiation Facility
A
Alejandro Chibly
Y
Yuxin Liang
Z
Zhana Duren
C
Ciara Metcalfe
M
Marc Hafner
C
Christian W. Siebel
M
M. Ryan Corces
R
Robert Yauch
S
Shiqi Xie
Department of Molecular Discovery and Cancer Cell Biology, Genentech
X
Xiaosai Yao
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