Package: idiffomix 1.0.0

idiffomix: Integrated Differential Analysis of Multi-Omics Data using a Joint Mixture Model

A joint mixture model is proposed that integrates information from gene expression data and methylation data at the modelling stage to capture their inherent dependency structure, enabling simultaneous identification of DMCs and DEGs. 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.

Authors:Koyel Majumdar [cre, aut], Isobel Claire Gorley [aut], Thomas Brendan Murphy [aut], Florence Jaffrezic [aut], Andrea Rau [aut]

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NEWS

# Install 'idiffomix' in R:
install.packages('idiffomix', repos = c('https://koyelucd.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/koyelucd/idiffomix/issues

Datasets:

On CRAN:

3.30 score 2 exports 50 dependencies

Last updated 27 days agofrom:2beadb29e1. Checks:1 OK, 4 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 14 2025
R-4.5-winWARNINGJan 14 2025
R-4.5-linuxWARNINGJan 14 2025
R-4.4-winWARNINGJan 14 2025
R-4.4-macWARNINGJan 14 2025

Exports:data_transformationidiffomix

Dependencies:clicodetoolscolorspacecowplotcpp11doParalleldplyredgeRfansifarverforeachgenericsggplot2gluegridExtragtableisobanditeratorslabelinglatticelifecyclelimmalocfitmagrittrMASSMatrixmclustmgcvmunsellnlmepillarpkgconfigplyrpurrrR6RColorBrewerRcppreshape2rlangscalesstatmodstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

idiffomix: integrated differential analysis of multi-omics data using a joint mixture model

Rendered fromvignettes.Rmdusingknitr::rmarkdownon Jan 14 2025.

Last update: 2024-12-18
Started: 2024-12-18