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betaclust

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

v1.0.5 · Sep 19, 2025 · GPL-3

Description

A family of novel beta mixture models (BMMs) has been developed by Majumdar et al. (2022) <doi:10.48550/arXiv.2211.01938> 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.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies foreach doParallel ggplot2 plotly scales pROC betaclust

Version History

new 1.0.5 Mar 10, 2026
updated 1.0.5 ← 1.0.4 diff Sep 18, 2025
updated 1.0.4 ← 1.0.3 diff Sep 23, 2024
updated 1.0.3 ← 1.0.0 diff Sep 28, 2023
new 1.0.0 Dec 4, 2022