Probabilistic State Models
Probabilistic State Models is a computational modeling framework in cell fate analysis that represents cellular states as discrete entities and transitions between them as stochastic processes governed by probabilistic rules, thereby capturing the inherent variability and uncertainty in cell fate decisions.
168
Publications
8.9K
Citations
480
Authors
215
Institutions
Publications per year
2017–2026
31
Parents
168
Using occupancy grids for mobile robot perception and navigation
Alberto Elfes · Computer · 1989 · 2.2K citations
Probabilistic Models of Larval Zebrafish Behavior Reveal Structure on Many Scales
Robert E. Johnson, Scott W. Linderman, Thomas Panier et al. · Current Biology · 2019 · 185 citations · Full text
Life Sciences, Biology, Zoology +12
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215
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
23 publications
1.8K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
8 publications
2.6K citations
University of Oxford
Oxford, United Kingdom
6 h-index
10 publications
835 citations
University of Washington
Seattle, United States
5 h-index
12 publications
211 citations
National University of Singapore
Singapore, Singapore
5 h-index
9 publications
239 citations
Stanford University
Stanford, United States
4 h-index
7 publications
322 citations
Harvard University
Cambridge, United States
4 h-index
14 publications
1.4K citations
Technical University of Munich
Munich, Germany
3 h-index
8 publications
709 citations
1–8 of 215
3 publications · 244 citations
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Repository · 3 publications · 176 citations
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2 publications · 91 citations
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2 publications · 46 citations
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2 publications · 135 citations
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