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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.
Version: | 1.0.3 |
Depends: | R (≥ 3.5.0) |
Imports: | foreach, doParallel, stats, utils, ggplot2, plotly, scales, pROC |
Suggests: | rmarkdown, knitr |
Published: | 2023-09-29 |
DOI: | 10.32614/CRAN.package.betaclust |
Author: | Koyel Majumdar |
Maintainer: | Koyel Majumdar <koyel.majumdar at ucdconnect.ie> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | betaclust results |
Reference manual: | betaclust.pdf |
Vignettes: |
betaclust: a family of beta mixture models for beta-valued DNA methylation data |
Package source: | betaclust_1.0.3.tar.gz |
Windows binaries: | r-devel: betaclust_1.0.3.zip, r-release: betaclust_1.0.3.zip, r-oldrel: betaclust_1.0.3.zip |
macOS binaries: | r-release (arm64): betaclust_1.0.3.tgz, r-oldrel (arm64): betaclust_1.0.3.tgz, r-release (x86_64): betaclust_1.0.3.tgz, r-oldrel (x86_64): betaclust_1.0.3.tgz |
Old sources: | betaclust archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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