iModMix
Integrative Modules for Multi-Omics Data
Bioconductor version: 3.23 · Package version: 1.2.0
The iModMix network-based method offers an integrated framework for analyzing multi-omics data, including metabolomics, proteomics, and transcriptomics data, enabling the exploration of intricate molecular associations within heterogeneous biological systems.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iModMix") Details
| Maintainer | Isis Narvaez-Bandera <isis.narvaez@upr.edu> |
| Author | Isis Narvaez-Bandera [aut, cre] (ORCID: <https://orcid.org/0000-0001-7320-618X>) |
| License | GPL-3 |
| URL | https://github.com/biodatalab/iModMix |
| Bug Reports | https://github.com/biodatalab/iModMix/issues |
| Downloads rank | 118 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, GeneExpression, Metabolomics, Network, PrincipalComponent, Proteomics, Software, Transcriptomics, Visualization |
Documentation
Download
Dependencies
Depends: R (>= 4.5.0)
Imports: config (>= 0.3.2), golem (>= 0.4.1), shiny (>= 1.7.5), ComplexHeatmap, DT, RColorBrewer, WGCNA, corrplot, cowplot, dynamicTreeCut, ggplot2, glassoFast, impute, purrr, stringr, tidyr, visNetwork, shinyBS, httr, dplyr, stats, iModMixData, SummarizedExperiment, ExperimentHub (>= 2.99.0)
Suggests: testthat (>= 3.0.0), ggfortify, shinyWidgets, pROC, tuneR, knitr, curl, readxl, reshape2, vroom, here, enrichR, rmarkdown