Reference-based Deconvolution
Reference-Based Deconvolution is a computational approach in cell-type deconvolution that belongs to the class of methods requiring prior knowledge of cell-type-specific gene expression profiles, distinguished by its reliance on a pre-defined reference signature matrix to estimate the proportional contributions of distinct cell types within bulk tissue samples.
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159
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99
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2017–2026
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Lucas A. Salas, Devin C. Koestler, Rondi A. Butler et al. · Genome biology · 2018 · 464 citations · Full text
Estimation of immune cell content in tumour tissue using single-cell RNA-seq data
Max Schelker, Sonia Feau, Jinyan Du et al. · Nature Communications · 2017 · 345 citations · Full text
Life Sciences, Immunology, Oncology +17
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University of Manchester
Manchester, United Kingdom
7 h-index
18 publications
789 citations
Neurological Surgery
Rockville Centre, United States
5 h-index
10 publications
2.1K citations
University of California, San Francisco
San Francisco, United States
5 h-index
10 publications
2.1K citations
Brown University
Providence, United States
5 h-index
8 publications
1.8K citations
Dartmouth College
Hanover, United States
5 h-index
12 publications
2.3K citations
University of Kansas Medical Center
Kansas City, United States
5 h-index
5 publications
1K citations
Humboldt-Universität zu Berlin
Berlin, Germany
3 h-index
5 publications
772 citations

Johns Hopkins University
Baltimore, United States
3 h-index
19 publications
1.4K citations
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Repository · 6 publications · 132 citations
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MRC · 5 publications · 183 citations
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4 publications · 909 citations
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3 publications · 123 citations
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JMR · 3 publications · 102 citations
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