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
Browse package contents
Package details |
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| Author | Ahmed A. Metwally, Tom Zhang, Michael Snyder |
| Bioconductor views | Lipidomics Metabolomics Microbiome Proteomics Regression Survival TimeCourse Transcriptomics |
| Maintainer | Ahmed A. Metwally <ametwall@stanford.edu> |
| License | MIT + file LICENSE |
| Version | 1.3.4 |
| URL | https://github.com/aametwally/OmicsLonDA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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