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

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see OmicsLonDA.

Omics Longitudinal Differential Analysis

Bioconductor version: Release (3.18)

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")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


Reference Manual PDF


biocViews Lipidomics, Metabolomics, Microbiome, Proteomics, Regression, Software, Survival, TimeCourse, Transcriptomics
Version 1.18.0
In Bioconductor since BioC 3.9 (R-3.6) (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
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Suggests knitr, rmarkdown, testthat, devtools, BiocManager
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