Uncertainty quantification of reference-based cellular deconvolution algorithms.

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Bibliographic Details
Title: Uncertainty quantification of reference-based cellular deconvolution algorithms.
Authors: Vellame DS; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK., Shireby G; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK., MacCalman A; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK., Dempster EL; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK., Burrage J; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK., Gorrie-Stone T; School of Biological Sciences, University of Essex, Colchester CO4 3SQ, UK., Schalkwyk LS; School of Biological Sciences, University of Essex, Colchester CO4 3SQ, UK., Mill J; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK., Hannon E; University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.
Source: Epigenetics [Epigenetics] 2023 Dec; Vol. 18 (1), pp. 2137659. Date of Electronic Publication: 2022 Dec 20.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Taylor & Francis Country of Publication: United States NLM ID: 101265293 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-2308 (Electronic) Linking ISSN: 15592294 NLM ISO Abbreviation: Epigenetics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1559-2308
DOI:10.1080/15592294.2022.2137659