betaclust: A Family of Beta Mixture Models for Clustering Beta-Valued DNA
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.
||R (≥ 3.5.0)
||foreach, doParallel, stats, utils, ggplot2, plotly, scales
Thomas Brendan Murphy
Isobel Claire Gormley
||Koyel Majumdar <koyel.majumdar at ucdconnect.ie>
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