Cell-type Proportion Estimation
Cell-Type Proportion Estimation is a computational inference task within cell-type deconvolution that determines the relative abundance of distinct cell types in a heterogeneous tissue sample from bulk omics data by leveraging signature gene expression profiles or reference datasets to disentangle cellular composition.
128
Publications
12K
Citations
823
Authors
407
Institutions
Publications per year
2017–2026
84
Parents
128
An estimation of the number of cells in the human body
Eva Bianconi, Allison Piovesan, Federica Facchin et al. · Annals of Human Biology · 2013 · 1K citations · Full text
Life Sciences, Biology, Cell Biology +11
GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA
Chenwei Li, Zefang Tang, Wenjie Zhang et al. · Nucleic Acids Research · 2021 · 562 citations · Full text
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407

The University of Sydney
Sydney, Australia
5 h-index
11 publications
602 citations
University of Michigan
Ann Arbor, United States
4 h-index
7 publications
614 citations

University of British Columbia
Vancouver, Canada
4 h-index
9 publications
670 citations
Virginia Tech
Blacksburg, United States
4 h-index
17 publications
712 citations

Walter and Eliza Hall Institute of Medical Research
Melbourne, Australia
4 h-index
6 publications
729 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
15 publications
899 citations

The University of Melbourne
Melbourne, Australia
4 h-index
12 publications
1.8K citations
Harvard University
Cambridge, United States
4 h-index
7 publications
707 citations
1–8 of 407
15 publications · 2.7K citations
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Repository · 10 publications · 213 citations
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9 publications · 785 citations
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5 publications · 168 citations
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5 publications · 378 citations
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