DOI: 10.18129/B9.bioc.timeOmics  

This is the development version of timeOmics; for the stable release version, see timeOmics.

Time-Course Multi-Omics data integration

Bioconductor version: Development (3.18)

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.

Author: Antoine Bodein [aut, cre], Olivier Chapleur [aut], Kim-Anh Le Cao [aut], Arnaud Droit [aut]

Maintainer: Antoine Bodein <antoine.bodein.1 at ulaval.ca>

Citation (from within R, enter citation("timeOmics")):


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biocViews Classification, Clustering, DimensionReduction, FeatureExtraction, GenePrediction, ImmunoOncology, Metabolomics, Metagenomics, Microarray, MultipleComparison, Proteomics, Regression, Sequencing, Software, TimeCourse
Version 1.13.0
In Bioconductor since BioC 3.11 (R-4.0) (3.5 years)
License GPL-3
Depends mixOmics, R (>= 4.0)
Imports dplyr, tidyr, tibble, purrr, magrittr, ggplot2, stringr, ggrepel, lmtest, plyr
Suggests BiocStyle, knitr, rmarkdown, testthat, snow, tidyverse, igraph, gplots
BugReports https://github.com/abodein/timeOmics/issues
Depends On Me
Imports Me
Suggests Me netOmics
Links To Me
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Source Package
Windows Binary timeOmics_1.13.0.zip
macOS Binary (x86_64) timeOmics_1.13.0.tgz
macOS Binary (arm64) timeOmics_1.13.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/timeOmics
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/timeOmics
Bioc Package Browser https://code.bioconductor.org/browse/timeOmics/
Package Short Url https://bioconductor.org/packages/timeOmics/
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