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.
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Install the devtools package in R, then load it and install the latest stable version of
## install devtools if not installed if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools") ## install timeOmics devtools::install_github("abodein/timeOmics")
Bodein A, Chapleur O, Droit A and Lê 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 (firstname.lastname@example.org)
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