Package: OmicsLonDA
Type: Package
Title: Omics Longitudinal Differential Analysis
Version: 1.3.4
Date: 2019-12-19
Author: Ahmed A. Metwally, Tom Zhang, Michael Snyder
Maintainer: Ahmed A. Metwally <ametwall@stanford.edu>
URL: https://github.com/aametwally/OmicsLonDA
BugReports: https://github.com/aametwally/OmicsLonDA/issues
Description: 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.
License: MIT + file LICENSE
Depends: R(>= 3.6)
Imports: SummarizedExperiment, gss, plyr, zoo, pracma, ggplot2,
        BiocParallel, parallel, grDevices, graphics, stats, utils,
        methods, BiocGenerics
Suggests: knitr, rmarkdown, testthat, devtools, BiocManager
biocViews: TimeCourse, Survival, Microbiome, Metabolomics, Proteomics,
        Lipidomics, Transcriptomics, Regression
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/OmicsLonDA
git_branch: master
git_last_commit: b606caf
git_last_commit_date: 2019-12-19
Date/Publication: 2019-12-19
Packaged: 2019-12-20 05:28:02 UTC; biocbuild
Built: R 4.0.0; ; 2019-12-20 15:33:20 UTC; unix
