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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.
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 | 1.6.0 |
URL | https://github.com/aametwally/OmicsLonDA |
Package repository | View on Bioconductor |
Installation |
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