Bioconductor version: Release (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")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("OmicsLonDA")
HTML | R Script | OmicsLonDA Package |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Lipidomics, Metabolomics, Microbiome, Proteomics, Regression, Software, Survival, TimeCourse, Transcriptomics |
Version | 1.14.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (4 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 | 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 |
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