CimpleG: finding simple CpG methylation signatures.

ABSTRACT: DNA methylation signatures are usually based on multivariate approaches that require hundreds of sites for predictions. Here, we propose a computational framework named CimpleG for the detection of small CpG methylation signatures used for cell-type classification and deconvolution. We show that CimpleG is both time efficient and performs as well as top performing methods for cell-type classification of blood cells and other somatic cells, while basing its prediction on a single DNA methylation site per cell type. Altogether, CimpleG provides a complete computational framework for the delineation of DNAm signatures and cellular deconvolution.

SUBMITTER: Maie T 

PROVIDER: S-EPMC10332104 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature