mozilla1.1Häkkinen, Antti2025-04-292018-05-282018-05-28https://datakatalogi.helsinki.fi/handle/123456789/6748dmml is a tool for identifying differentially methylated sites in tumor samples with varying, unknown tumor cell fraction using a maximum-likelihood method. For the details about the method and validation, please refer to our publication on the matter. Major features: Comparison of up to 31 tumor samples simultaneously Zero, one, or multiple control samples Tumor purity of each sample is automatically estimated; alternatively, prior knowledge about the tumor cell fraction can be injected The estimator models co-methylation of neighboring sites locally in each neighborhood, which properly accounts for correlations within and across CG islandsbioinformaticsnext-generation sequencingDNA methylationtumor puritylatent stochastic modelingdmml - A maximum-likelihood method for identifying differential methylation in samples with varying tumor puritysoftware