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timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data (A.) measured on the same biological samples and select key temporal features with strong associations within the same sample group.

The main steps of timeOmics are:

timeOmics can be applied on both single-Omic or multi-Omics experimental design.

If you came to this page thanks to our article and you wish to access its example scripts please follow this link .


Latest GitHub Version

Install the devtools package in R, then load it and install the latest stable version of timeOmics from GitHub

## install devtools if not installed
if (!requireNamespace("devtools", quietly = TRUE))
## install timeOmics


Bodein A, Chapleur O, Droit A and LĂȘ Cao K-A (2019) A Generic Multivariate Framework for the Integration of Microbiome Longitudinal Studies With Other Data Types. Front. Genet. 10:963. doi:10.3389/fgene.2019.00963


Antoine Bodein (

Bugs/Feature requests

If you have any bugs or feature requests, let us know. Thanks!

abodein/timeOmics_BioC documentation built on April 25, 2021, 5:23 p.m.