Causal discovery in microbiome data with identifiable variational autoencoders
Evaluating whether questionnaire-guided iVAE representations support causal discovery in microbiome data with hidden confounding.
Microbiome analysis, knowledge graphs and causality
Combining literature-derived knowledge graphs with microbiome observations to investigate causal hypotheses in personalized health.