CimpleG DNAm benchmarking datasets for cell-type classification and deconvolution

Two large DNAm benchmarking datasets specifically gathered and curated for cell-type classification and deconvolution problems. It includes a leukocytes dataset and a somatic cells dataset in the GenomicRatioSet format from the minfi package. These can be easily loaded into R with the CimpleG::load_object function. Each dataset includes therein sample data like GEO accession numbers, sample name or ID in their original dataset, cell-type label, one-hot encoded data for each cell-type, preferred train/test splits, and others.