MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
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== MethCP: Differentially Methylated Region Detection with Change Point Models == Boying Gong, Elizabeth Purdom, MethCP: Differentially Methylated Region Detection with Change Point Models, 2018, bioRxiv. https://doi.org/10.1101/265116 Permanent link to the paper] === Summary === A new approach (MethCP) for the identification of differentially methylated regions (DMRS) of the DNA based on whole genome sequencing data is supposed. The approach is develope for more complex design than two-group comparisons, e.g. for time course experiments. For the two-group setup, it is claimed that MethCP outperforms existing approaches. === Study outcomes === List the paper results concerning method comparison and benchmarking: ==== Outcome O1 ==== The performance of ... Outcome O1 is presented as Figure X in the original publication. ==== Outcome O2 ==== ... Outcome O2 is presented as Figure X in the original publication. ==== Outcome On ==== ... Outcome On is presented as Figure X in the original publication. ==== Further outcomes ==== If intended, you can add further outcomes here. === Study design and evidence level === ==== General aspects ==== You can describe general design aspects here. The study designs for describing specific outcomes are listed in the following subsections: ==== Design for Outcome O1 ==== * The outcome was generated for ... * Configuration parameters were chosen ... * ... ==== Design for Outcome O2 ==== * The outcome was generated for ... * Configuration parameters were chosen ... * ... ... ==== Design for Outcome O ==== * The outcome was generated for ... * Configuration parameters were chosen ... * ... === Further comments and aspects === === References === The list of cited or related literature is placed here.
