OmicsLonDA

This package is for version 3.16 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see OmicsLonDA.

Omics Longitudinal Differential Analysis

DOI: 10.18129/B9.bioc.OmicsLonDA

Bioconductor version: 3.16

Statistical method that provides robust identification of time intervals where omics features (such as proteomics, lipidomics, metabolomics, transcriptomics, microbiome, as well as physiological parameters captured by wearable sensors such as heart rhythm, body temperature, and activity level) are significantly different between groups.

Author: Ahmed A. Metwally, Tom Zhang, Michael Snyder

Maintainer: Ahmed A. Metwally <ametwall at stanford.edu>

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

Installation

To install this package, start R (version "4.2") and enter:


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

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("OmicsLonDA")

OmicsLonDA Package HTML R Script

Reference Manual PDF

NEWS Text

LICENSE Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Lipidomics, Metabolomics, Microbiome, Proteomics, Regression, Software, Survival, TimeCourse, Transcriptomics

Version 1.14.0

In Bioconductor since BioC 3.9 (R-3.6) (5 years)

License MIT + file LICENSE

Depends R (>= 3.6)

Imports SummarizedExperiment, gss, plyr, zoo, pracma, ggplot2, BiocParallel, parallel, grDevices, graphics, stats, utils, methods, BiocGenerics

System Requirements

URL https://github.com/aametwally/OmicsLonDA

Bug Reports https://github.com/aametwally/OmicsLonDA/issues

Suggests knitr, rmarkdown, testthat, devtools, BiocManager

Linking To

Enhances

Depends On Me

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Build Report Build Report

Package Archives

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

Source Package OmicsLonDA_1.14.0.tar.gz

Windows Binary OmicsLonDA_1.14.0.zip

macOS Binary (x86_64) OmicsLonDA_1.14.0.tgz

macOS Binary (arm64) OmicsLonDA_1.14.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/OmicsLonDA

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/OmicsLonDA

Bioc Package Browser https://code.bioconductor.org/browse/OmicsLonDA/

Package Short Url https://bioconductor.org/packages/OmicsLonDA/

Package Downloads Report Download Stats

Old Source Packages for BioC 3.16 Source Archive