MethylResolver-a method for deconvoluting bulk DNA methylation profiles into known and unknown cell contents.

ABSTRACT: Bulk tissue DNA methylation profiling has been used to examine epigenetic mechanisms and biomarkers of complex diseases such as cancer. However, heterogeneity of cellular content in tissues complicates result interpretation and utility. In silico deconvolution of cellular fractions from bulk tissue data offers a fast and inexpensive alternative to experimentally measuring such fractions. In this study, we report the design, implementation, and benchmarking of MethylResolver, a Least Trimmed Squares regression-based method for inferring leukocyte subset fractions from methylation profiles of tumor admixtures. Compared to previous approaches MethylResolver is more accurate as unknown cellular content in the mixture increases and is able to resolve tumor purity-scaled immune cell-type fractio

SUBMITTER: Arneson D 

PROVIDER: S-EPMC7400544 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature