Cell-type-specific Network Inference
Cell-Type-Specific Network Inference is a regulatory network inference method that specifically reconstructs gene regulatory interactions within individual cell types by leveraging single-cell omics data to account for cellular heterogeneity.
78
Publications
4.7K
Citations
396
Authors
188
Institutions
Publications per year
2017–2026
68
Parents
78
Dissecting cell identity via network inference and in silico gene perturbation
Kenji Kamimoto, Blerta Stringa, Christy M. Hoffmann et al. · Nature · 2023 · 647 citations · Full text
Predicting cell-to-cell communication networks using NATMI
Rui Hou, Elena Denisenko, Huan Ting Ong et al. · Nature Communications · 2020 · 293 citations · Full text
Functional inference of gene regulation using single-cell multi-omics
Vinay K. Kartha, Fabiana M. Duarte, Yan Hu et al. · Cell Genomics · 2022 · 235 citations · Full text
1–5 of 78
396
University of Electronic Science and Technology of China, China
3 publications · 250 citations
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2
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2
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2
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1–5 of 396
188
Harvard University
Cambridge, United States
7 h-index
31 publications
1.9K citations

Broad Institute
Cambridge, United States
5 h-index
19 publications
1.6K citations
University of Wisconsin–Madison
Madison, United States
4 h-index
22 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
15 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
11 publications
358 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
5 publications
526 citations

Brigham and Women's Hospital
Boston, United States
3 h-index
11 publications
242 citations

Icahn School of Medicine at Mount Sinai
New York, United States
3 h-index
6 publications
206 citations
1–8 of 188
5 publications · 225 citations
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6 publications · 272 citations
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6 publications · 182 citations
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4 publications · 689 citations
5
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5 publications · 373 citations
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