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.
|Author||Ahmed A. Metwally, Tom Zhang, Michael Snyder|
|Bioconductor views||Lipidomics Metabolomics Microbiome Proteomics Regression Survival TimeCourse Transcriptomics|
|Maintainer||Ahmed A. Metwally <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.