Single-cell Imputation
Single-Cell Imputation is a computational method designed to infer missing or dropout values in single-cell epigenomic data while preserving biological variability and technical accuracy at the individual cell level.
89
Publications
6.9K
Citations
313
Authors
133
Institutions
Publications per year
2017–2026
88
Parents
89
DrImpute: imputing dropout events in single cell RNA sequencing data
Wuming Gong, Il‐Youp Kwak, Pruthvi Pota et al. · BMC Bioinformatics · 2018 · 345 citations · Full text
A systematic evaluation of single-cell RNA-sequencing imputation methods
Wenpin Hou, Zhicheng Ji, Hongkai Ji et al. · Genome biology · 2020 · 324 citations · Full text
Life Sciences, Biology, Cell Biology +17
1–5 of 89
313
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Indraprastha Institute of Information Technology Delhi, India
3 publications · 293 citations
3
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3
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3
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Indraprastha Institute of Information Technology Delhi, India
3 publications · 293 citations
3
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1–5 of 313
133
Yale University
New Haven, United States
5 h-index
19 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
7 publications
290 citations
University of Chicago
Chicago, United States
4 h-index
7 publications
590 citations
Academy of Mathematics and Systems Science
Beijing, China
4 h-index
8 publications
428 citations

Shenzhen University
Shenzhen, China
4 h-index
6 publications
260 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
17 publications
833 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
8 publications
166 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
10 publications
834 citations
1–8 of 133
13 publications · 449 citations
12
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Repository · 13 publications · 793 citations
12
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9 publications · 212 citations
10
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8 publications · 1.8K citations
8
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5 publications · 481 citations
5
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