betaclust: A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data

A family of novel beta mixture models (BMMs) has been developed by Majumdar et al. (2022) <arXiv:2211.01938v1> to appositely model the beta-valued cytosine-guanine dinucleotide (CpG) sites, to objectively identify methylation state thresholds and to identify the differentially methylated CpG (DMC) sites using a model-based clustering approach. The family of beta mixture models employs different parameter constraints applicable to different study settings. The EM algorithm is used for parameter estimation, with a novel approximation during the M-step providing tractability and ensuring computational feasibility.

Package details

AuthorKoyel Majumdar [aut, cre] (<>), Romina Silva [aut], Antoinette Sabrina Perry [aut], Ronald William Watson [aut], Andrea Rau [aut] (<>), Florence Jaffrezic [aut], Thomas Brendan Murphy [aut] (<>), Isobel Claire Gormley [aut] (<>)
MaintainerKoyel Majumdar <>
Package repositoryView on CRAN
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betaclust documentation built on Sept. 29, 2023, 5:06 p.m.