Unifying DNA methylation-based in silico cell-type deconvolution with deconvMe
Dietrich A, Willruth L, Pürckhauer K, Oltmanns C, Witte M, Klein S, Kraft A, Cornberg M, List M
Published in
Bioinformatics Advances: Volume 5, Issue 1, Page vbaf201
Abstract
SUMMARY: Cell-type deconvolution is widely applied to gene expression and DNA methylation data, but access to methods for the latter remains limited. We introduce deconvMe, a new R package that simplifies access to DNA methylation-based deconvolution methods predominantly for blood data, and we additionally compare their estimates to those from gene expression and experimental ground truth data using a unique matched blood dataset. AVAILABILITY AND IMPLEMENTATION: DevonMe is available at https://github.com/omnideconv/deconvMe, the processed blood data is available at https://figshare.com/articles/dataset/methyldeconv_data/28563854/3.
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