doi:10.48550/arXiv.2412.17511> that integrates information from gene expression data and methylation data at the modelling stage to capture their inherent dependency structure, enabling simultaneous identification of differentially methylated cytosine-guanine dinucleotide (CpG) sites and differentially expressed genes. The model leverages a joint likelihood function that accounts for the nested structure in the data, with parameter estimation performed using an expectation-maximisation algorithm.">

idiffomix: Integrated Differential Analysis of Multi Omics Data using a Joint Mixture Model (original) (raw)

A joint mixture model has been developed by Majumdar et al. (2025) <doi:10.48550/arXiv.2412.17511> that integrates information from gene expression data and methylation data at the modelling stage to capture their inherent dependency structure, enabling simultaneous identification of differentially methylated cytosine-guanine dinucleotide (CpG) sites and differentially expressed genes. The model leverages a joint likelihood function that accounts for the nested structure in the data, with parameter estimation performed using an expectation-maximisation algorithm.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: foreach, doParallel, parallel, mclust, stats, utils, edgeR, magrittr, ggplot2, scales, tidyr, dplyr, reshape2, gridExtra, grid, tidyselect, cowplot
Suggests: rmarkdown, knitr
Published: 2025-01-13
DOI: 10.32614/CRAN.package.idiffomix
Author: Koyel Majumdar [cre, aut], Isobel Claire Gorley [aut], Thomas Brendan Murphy [aut], Florence Jaffrezic [aut], Andrea Rau [aut]
Maintainer: Koyel Majumdar <koyelmajumdar.phdresearch at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: idiffomix results

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