Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article
Unifying DNA methylation-based in silico cell-type deconvolution with deconvMe
Alexander DietrichiD, Lina-Liv WillruthiD, Korbinian PürckhaueriD, Carlos OltmannsiD, Moana Witte, Sebastian Klein, Anke R.M. KraftiD, Markus CornbergiD, Markus ListiD
Abstract
SummaryCell-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.
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- 43th percentile
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