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timeOmics

This is the released version of timeOmics; for the devel version, see timeOmics.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Time-Course Multi-Omics data integration


Bioconductor version: Release (3.23)

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")):

Antoine Bodein, Olivier Chapleur, Kim-Anh Le Cao, Arnaud Droit. timeOmics: Time-Course Multi-Omics data integration. doi:10.18129/B9.bioc.timeOmics, R package version 1.24.0, https://bioconductor.org/packages/timeOmics.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("timeOmics")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("timeOmics")
timeOmics HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Classification, Clustering, DimensionReduction, FeatureExtraction, GenePrediction, ImmunoOncology, Metabolomics, Metagenomics, Microarray, MultipleComparison, Proteomics, Regression, Sequencing, Software, TimeCourse
Version1.24.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 years)
License GPL-3
Depends mixOmics, R (>= 4.0)
Imports dplyr, tidyr, tibble, purrr, magrittr, ggplot2, stringr, ggrepel, lmtest, plyr, checkmate
System Requirements
URL
Bug Reportshttps://github.com/abodein/timeOmics/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat, snow, tidyverse, igraph, gplots
Linking To
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Depends On Me
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package timeOmics_1.24.0.tar.gz
Windows Binary (x86_64) timeOmics_1.24.0.zip
macOS Binary (big-sur-x86_64) timeOmics_1.24.0.tgz
macOS Binary (sonoma-arm64) timeOmics_1.24.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/timeOmics
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/timeOmics
Package Short Url https://bioconductor.org/packages/timeOmics/
Package Downloads ReportDownload Stats