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betaclust  

A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data
View on CRAN: Click here


Download and install betaclust package within the R console
Install from CRAN:
install.packages("betaclust")

Install from Github:
library("remotes")
install_github("cran/betaclust")

Install by package version:
library("remotes")
install_version("betaclust", "1.0.4")



Attach the package and use:
library("betaclust")
Maintained by
Koyel Majumdar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-05
Latest Update: 2023-09-29
Description:
A family of novel beta mixture models (BMMs) has been developed by Majumdar et al. (2022) 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.
How to cite:
Koyel Majumdar (2022). betaclust: A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data. R package version 1.0.4, https://cran.r-project.org/web/packages/betaclust. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2022-12-05 11:10), 1.0.3 (2023-09-29 12:20)
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