aametwally/OmicsLonDA: Omics Longitudinal Differential Analysis

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.

Getting started

Package details

AuthorAhmed A. Metwally, Tom Zhang, Michael Snyder
Bioconductor views Lipidomics Metabolomics Microbiome Proteomics Regression Survival TimeCourse Transcriptomics
MaintainerAhmed A. Metwally <ametwall@stanford.edu>
LicenseMIT + file LICENSE
URL https://github.com/aametwally/OmicsLonDA
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
aametwally/OmicsLonDA documentation built on Feb. 10, 2020, 11:47 a.m.