OmicsLonDA

DOI: 10.18129/B9.bioc.OmicsLonDA  

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Omics Longitudinal Differential Analysis

Bioconductor version: Development (3.19)

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 "4.4") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("OmicsLonDA")

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

Documentation

PDF   Reference Manual

Details

biocViews Lipidomics, Metabolomics, Microbiome, Proteomics, Regression, Software, Survival, TimeCourse, Transcriptomics
Version 1.18.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 3.6)
Imports SummarizedExperiment, gss, plyr, zoo, pracma, ggplot2, BiocParallel, parallel, grDevices, graphics, stats, utils, methods, BiocGenerics
LinkingTo
Suggests knitr, rmarkdown, testthat, devtools, BiocManager
SystemRequirements
Enhances
URL https://github.com/aametwally/OmicsLonDA
BugReports https://github.com/aametwally/OmicsLonDA/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/OmicsLonDA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/OmicsLonDA
Package Short Url https://bioconductor.org/packages/OmicsLonDA/
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