Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).

ABSTRACT:

Background

Confounding due to cellular heterogeneity represents one of the foremost challenges currently facing Epigenome-Wide Association Studies (EWAS). Statistical methods leveraging the tissue-specificity of DNA methylation for deconvoluting the cellular mixture of heterogenous biospecimens offer a promising solution, however the performance of such methods depends entirely on the library of methylation markers being used for deconvolution. Here, we introduce a novel algorithm for Identifying Optimal Libraries (IDOL) that dynamically scans a candidate set of cell-specific methylation markers to find libraries that optimize the accuracy of cell fraction estimates obtained from cell mixture deconvolution.

Results

Application of IDOL to training set consisting of samples wi

SUBMITTER: Koestler DC 

PROVIDER: S-EPMC4782368 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature