betaclust
1.0.5A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data
Overview
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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Package metadata
- First published
- 2022-12-05
- Total releases
- 4 / 4 yrs
- License
- GPL-3 OSI
- Download size
- 549 KB
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