Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions is a research paper published in Cell Systems (2021). On theSindex it has a DataRank of 0. It has been cited 150 times.
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Gordon and Betty Moore Foundation
Grant: 2919.01
NIH
Grant: R25GM067110
Cancer Research UK
Grant: FC001051
ERC
Grant: 742138
The molecular and cellular logic of vertebrate neural development
National Science Foundation
Grant: Phy 2013131
National Science Foundation
Grant: PHY-1748958
Engineering and Physical Sciences Research Council
Grant: EP/P019811/1
Mathematical Foundations of Information and Decisions in Dynamic Cell Signalling
Engineering and Physical Sciences Research Council
Grant: 1499350
Engineering and Physical Sciences Research Council
Grant: EP/T031573/1
The Francis Crick Institute
Grant: 10051
National Institutes of Health
Grant: 1R25GM067110-01
ITP Workshop on Biological Networks
Wellcome Trust
Grant: unidentified
unidentified
National Science Foundation
Grant: 2013131
Geometry, Genetics and Development
National Science Foundation
Grant: 1748958
Kavli Institute for Theoretical Physics
Horizon 2020
NSF
University of Warwick
Francis Crick Institute
Medical Research Council
Wellcome Trust
European Commission
European Research Council
FWCI
7.48
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Evidence for close molecular proximity between reverting and undifferentiated cells
Additional file 1 of Evidence for close molecular proximity between reverting and undifferentiated cells