timeOmics
Time-Course Multi-Omics data integration
Bioconductor version: 3.24 · Package version: 1.25.0
timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data measured on the same biological samples and select key temporal features with strong associations within the same sample group. The main steps of timeOmics are: 1. Plaform and time-specific normalization and filtering steps; 2. Modelling each biological into one time expression profile; 3. Clustering features with the same expression profile over time; 4. Post-hoc validation step.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("timeOmics")Details
| Maintainer | Antoine Bodein <antoine.bodein.1@ulaval.ca> |
| Author | Antoine Bodein [aut, cre], Olivier Chapleur [aut], Kim-Anh Le Cao [aut], Arnaud Droit [aut] |
| License | GPL-3 |
| Bug Reports | https://github.com/abodein/timeOmics/issues |
| Downloads rank | 442 |
| Source branch | devel |
| biocViews | Classification, Clustering, DimensionReduction, FeatureExtraction, GenePrediction, ImmunoOncology, Metabolomics, Metagenomics, Microarray, MultipleComparison, Proteomics, Regression, Sequencing, Software, TimeCourse |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | timeOmics_1.25.0.tar.gz |
| Windows binary (x86_64) | timeOmics_1.25.0.zip |
| macOS binary (arm64) | timeOmics_1.25.0.tgz |
| macOS binary (x86_64) | timeOmics_1.25.0.tgz |