SIAMCAT

SIAMCAT is a modular framework for the statistical inference of associations between microbial communities and host phenotypes, such as disease states in clinical case-control studies. SIAMCAT is based on LASSO models, which offer distinctive advantages for model interpretation and microbial biomarker selection and avoid overfitting issues that can arise in naive combinations of feature selection and cross-validation.

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Funding: Development and maintenance partially funded by de.NBI.