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

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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 methyldeconv , a new package that improves access to DNA methylation-based deconvolution methods, and compare their estimates to those from gene expression and experimental ground truth data.

Availability and Implementation

MethylDeconv is available at https://github.com/omnideconv/methyldeconv . The scripts to conduct the analysis steps and figures can be found at https://github.com/omnideconv/methyldeconv_analysis .

Matched EPIC array data, RNA-seq data, and flow cytometry values are available at https://doi.org/10.6084/m9.figshare.28563854.v1 .

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