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CimpleG: finding simple CpG methylation signatures

Genome biology, vol. 24, pp. 161

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.

Authors 4

  1. RWTH Aachen University

    Affiliation as printed

    Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany. tiagomaie@hotmail.com

    Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany

  2. RWTH Aachen University

    Affiliation as printed

    Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany

  3. RWTH Aachen University

    Affiliation as printed

    Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstr. 19, Aachen, 52074, NRW, Germany

    Institute for Stem Cell Biology, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany

  4. RWTH Aachen University

    Affiliation as printed

    Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany. ivan.costa@rwth-aachen.de

    Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, Pauwelsstr. 19, Aachen, 52074, NRW, Germany

Cited by 11 stored of 10

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References 103