Integrated Differential Analysis of Multi Omics Data using a Joint Mixture Model
Overview
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.
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- WARNING12 OK, 1 WARNING2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Dependencies
Installing idiffomix adds 38 packages (19 with compiled code, 36 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, mclust 2.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.0Latest2025-01-13 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-01-13
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 13 KB / 3 files
- Download size
- 94 KB
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