DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy.

ABSTRACT: Recent studies revealed that gut microbiota modulates the response to cancer immunotherapy and fecal microbiota transplantation has clinical benefits in melanoma patients during treatment. Understanding how microbiota affects individual responses is crucial for precision oncology. However, it is challenging to identify key microbial taxa with limited data as statistical and machine learning models often lose their generalizability. In this study, DeepGeni, a deep generalized interpretable autoencoder, is proposed to improve the generalizability and interpretability of microbiome profiles by augmenting data and by introducing interpretable links in the autoencoder. DeepGeni-based machine learning classifier outperforms state-of-the-art classifier in the microbiome-driven prediction of respo

SUBMITTER: Oh M 

PROVIDER: S-EPMC10030841 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature