Abstract
AbstractDNA 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.
Funder
Deutsche Forschungsgemeinschaft
Bundesministerium für Bildung und Forschung
Universitätsklinikum RWTH Aachen
Publisher
Springer Science and Business Media LLC
Cited by
1 articles.
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