CimpleG: finding simple CpG methylation signatures
In: Genome Biology, Jg. 24 (2023), Heft 1, S. 1-28
Online
academicJournal
Zugriff:
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.
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CimpleG: finding simple CpG methylation signatures
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Autor/in / Beteiligte Person: | Maié, Tiago ; Schmidt, Marco ; Erz, Myriam ; Wagner, Wolfgang ; Costa, Ivan G. |
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Zeitschrift: | Genome Biology, Jg. 24 (2023), Heft 1, S. 1-28 |
Veröffentlichung: | BMC, 2023 |
Medientyp: | academicJournal |
ISSN: | 1474-760X (print) |
DOI: | 10.1186/s13059-023-03000-0 |
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