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bioRxiv · 10.1101/2025.03.10.642382

Unifying DNA methylation-based in silico cell-type deconvolution with methyldeconv

Dietrich, A.·Willruth, L.-L.·Puerckhauer, K.·Oltmanns, C.·Witte, M.·Klein, S.·Kraft, A.·Cornberg, M.·List, M.
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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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Dietrich, A., Willruth, L.-L., Puerckhauer, K., Oltmanns, C., Witte, M., Klein, S., Kraft, A., Cornberg, M., List, M.. 2025-03-13. Unifying DNA methylation-based in silico cell-type deconvolution with methyldeconv. https://doi.org/10.1101/2025.03.10.642382

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