A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer.

A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer.

Identifying differentially methylated cytosine-guanine dinucleotide (CpG) sites between benign and tumour samples can assist in understanding disease. However, differential analysis of bounded DNA methylation data often requires data transformation, reducing biological interpretability. To address t...

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Main Authors: Koyel Majumdar, Romina Silva, Antoinette Sabrina Perry, Ronald William Watson, Andrea Rau, Florence Jaffrezic, Thomas Brendan Murphy, Isobel Claire Gormley
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0314014
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https://doi.org/10.1371/journal.pone.0314014

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