DOI: 10.18129/B9.bioc.OmicsLonDA  

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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>

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


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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
Suggests knitr, rmarkdown, testthat, devtools, BiocManager
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