Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data

Autor: Bárbara Andrade Barbosa, Saskia D. van Asten, Ji Won Oh, Arantza Farina-Sarasqueta, Joanne Verheij, Frederike Dijk, Hanneke W. M. van Laarhoven, Bauke Ylstra, Juan J. Garcia Vallejo, Mark A. van de Wiel, Yongsoo Kim
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-26328-2
Popis: Deconvolution methods reveal individual cell types in complex tissues profiled by bulk methods. Here the authors present a Bayesian deconvolution method that outperforms existing methods when benchmarked on >700 datasets, especially in estimating cell-type-specific gene expression profiles.
Databáze: Directory of Open Access Journals