Tools we've built and made public.

Deep-learning framework for identifying functional archetypes in gut microbiomes.

Probabilistic modeling of FFPE RNA-seq; imputes dropouts via sample-sample graph attention.

Deep learning for Candida albicans morphologies — automatic detection and classification.

Gut–brain axis analysis pipeline for microbiome and neuroimaging data integration.

Matched Interaction Across Tissues — explore transcriptional profiles across matched tissues.

Absolute Inference of Patient Signatures — single-patient pathway activation from gene expression.