Digital Cytometry
Digital Cytometry is a computational methodology within the field of cell-type deconvolution that enables the inference of cell type proportions and molecular profiles in heterogeneous tissues from bulk omics data by leveraging reference signatures and high-dimensional statistical modeling.
179
Publications
20.7K
Citations
974
Authors
382
Institutions
Publications per year
2017–2026
78
Parents
179
xCell: digitally portraying the tissue cellular heterogeneity landscape
Dvir Aran, Zicheng Hu, Atul J. Butte · Genome biology · 2017 · 4.7K citations · Full text
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382
Stanford University
Stanford, United States
14 h-index
101 publications
72K citations
University of California, San Francisco
San Francisco, United States
5 h-index
22 publications
15.2K citations
Inserm
Paris, France
5 h-index
27 publications
771 citations
Harvard University
Cambridge, United States
4 h-index
13 publications
840 citations
Fred Hutch Cancer Center
Seattle, United States
4 h-index
17 publications
2.5K citations

University of British Columbia
Vancouver, Canada
4 h-index
10 publications
942 citations
Stanford Medicine
Stanford, United States
4 h-index
4 publications
5K citations
University of Pennsylvania
Philadelphia, United States
4 h-index
15 publications
2.3K citations
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15 publications · 488 citations
13
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12 publications · 558 citations
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7 publications · 355 citations
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Repository · 7 publications · 125 citations
7
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4 publications · 325 citations
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