Cell-state Inference
Cell-State Inference is a computational method that distinguishes cellular phenotypes by identifying and characterizing transient, dynamic, or hierarchical functional states from single-cell genomic data based on gene expression, epigenetic, or multimodal molecular profiles.
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16K
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513
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234
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Publications per year
2017–2026
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SCENIC: single-cell regulatory network inference and clustering
Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman et al. · Nature Methods · 2017 · 6.9K citations · Full text
Using Bayesian Networks to Analyze Expression Data
Nir Friedman, Michal Linial, Iftach Nachman et al. · Journal of Computational Biology · 2000 · 3.3K citations
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Harvard University
Cambridge, United States
7 h-index
44 publications
5.6K citations
University of Zurich
Zurich, Switzerland
6 h-index
14 publications
2.7K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
8 publications
210 citations
Center for Systems Biology
Boston, United States
6 h-index
21 publications
2K citations
Stanford University
Stanford, United States
5 h-index
21 publications
6.8K citations

Johns Hopkins University
Baltimore, United States
5 h-index
17 publications
289 citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
5 h-index
11 publications
1.9K citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
16 publications
769 citations
1–8 of 234
Repository · 8 publications · 209 citations
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4 publications · 776 citations
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4 publications · 153 citations
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4 publications · 254 citations
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4 publications · 136 citations
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