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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) <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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1.0.5 rolling linux/jammy R-4.5 betaclust_1.0.5.tar.gz 639.5 KiB
1.0.5 rolling linux/noble R-4.5 betaclust_1.0.5.tar.gz 639.6 KiB
1.0.5 rolling source/ R- betaclust_1.0.5.tar.gz 546.1 KiB
1.0.5 latest linux/jammy R-4.5 betaclust_1.0.5.tar.gz 639.5 KiB
1.0.5 latest linux/noble R-4.5 betaclust_1.0.5.tar.gz 639.6 KiB
1.0.5 latest source/ R- betaclust_1.0.5.tar.gz 546.1 KiB
1.0.5 2026-04-26 source/ R- betaclust_1.0.5.tar.gz 546.1 KiB
1.0.5 2026-04-23 source/ R- betaclust_1.0.5.tar.gz 546.1 KiB
1.0.5 2026-04-09 windows/windows R-4.5 betaclust_1.0.5.zip 642.1 KiB
1.0.4 2025-04-20 source/ R- betaclust_1.0.4.tar.gz 553.5 KiB

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