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.
- Version1.0.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/24/2024
Documentation
Team
Koyel Majumdar
Andrea Rau
Show author detailsRolesAuthorIsobel Claire Gormley
Show author detailsRolesAuthorThomas Brendan Murphy
Show author detailsRolesAuthorRomina Silva
Show author detailsRolesAuthorAntoinette Sabrina Perry
Show author detailsRolesAuthorRonald William Watson
Show author detailsRolesAuthorFlorence Jaffrezic
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 253 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 3,299 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 26, 2024 with 61 downloads.
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Dependencies
- Imports6 packages
- Suggests2 packages