MintTea
MintTea
An intermediate integration-based method for analyzing multi-omic microbiome data and identifying disease-associated multi-omic modules.
Using
MintTea
» MintTea>Code (GitHub)
Download the MintTea source code from GitHub repository.
Learn how to obtain, compile, and use MintTea in your analysis.
Understanding
MintTea
MintTea is a method for identifying multi-omic modules of features that are both associated with a disease state and present strong associations between the different omics. It is based on sparse generalized canonical correlation analysis (sgCCA), where the disease label is encoded as an additional 'dummy' omic.
Citing
MintTea
E Muller, I Shiryan, E Borenstein. Multi-omic integration of microbiome data for identifying disease-associated modules. Nature Communications 15 (1), 2621, 2024