Single-cell State Inference
Single-Cell State Inference is a computational method within systems biology that identifies and characterizes the dynamic functional states of individual cells from high-dimensional single-cell omics data by distinguishing transcriptional or epigenetic variability associated with cellular identity, activity, or developmental trajectory.
66
Publications
16.7K
Citations
395
Authors
188
Institutions
Publications per year
2017–2026
55
Parents
66
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
A comparison of single-cell trajectory inference methods
Wouter Saelens, Robrecht Cannoodt, Helena Todorov et al. · Nature Biotechnology · 2019 · 1.7K citations
Life Sciences, Biology, Cell Biology +10
CancerSEA: a cancer single-cell state atlas
Huating Yuan, Min Yan, Guanxiong Zhang et al. · Nucleic Acids Research · 2018 · 1.1K citations · Full text
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VIB-KU Leuven Center for Brain & Disease Research, Belgium
4 publications · 7.8K citations
4
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1–5 of 395
188
Harvard University
Cambridge, United States
9 h-index
43 publications
11.9K citations
Center for Systems Biology
Boston, United States
6 h-index
14 publications
2.4K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
5 h-index
15 publications
2.2K citations
KU Leuven
Leuven, Belgium
4 h-index
41 publications
90.2K citations
VIB-KU Leuven Center for Brain & Disease Research
Leuven, Belgium
4 h-index
34 publications
56.8K citations
Northeastern University
Boston, United States
3 h-index
3 publications
99 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
113 citations
California Institute of Technology
Pasadena, United States
3 h-index
18 publications
1.9K citations
1–8 of 188
Repository · 9 publications · 413 citations
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6 publications · 8.2K citations
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4 publications · 2K citations
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3 publications · 666 citations
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3 publications · 350 citations
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