|
|
|
|
|
|
|
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.
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")
):
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.
Reference Manual |
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 |
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/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: