dmml - A maximum-likelihood method for identifying differential methylation in samples with varying tumor purity

dc.contributor.affiliationUniversity of Helsinki-Häkkinen, Antti
dc.contributor.authorHäkkinen, Antti
dc.date.accessioned2025-04-29T14:07:25Z
dc.date.issued2018-05-28
dc.date.issued2018-05-28
dc.descriptiondmml 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 islands
dc.identifierhttps://doi.org/10.5281/zenodo.3981020
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/6748
dc.rights.licensemozilla1.1
dc.subjectbioinformatics
dc.subjectnext-generation sequencing
dc.subjectDNA methylation
dc.subjecttumor purity
dc.subjectlatent stochastic modeling
dc.titledmml - A maximum-likelihood method for identifying differential methylation in samples with varying tumor purity
dc.typesoftware
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