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("timeOmics")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("timeOmics")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
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 |
Linking To | |
Suggests | BiocStyle, knitr, rmarkdown, testthat, snow, tidyverse, igraph, gplots |
System Requirements | |
Enhances | |
URL | |
Bug Reports | https://github.com/abodein/timeOmics/issues |
See More
Depends On Me | |
Imports Me | |
Suggests Me | netOmics |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
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/ |
Package Downloads Report | Download Stats |