GDmicro: classifying host disease status with GCN and deep adaptation network based on the human gut microbiome data.

ABSTRACT:

Motivation

With advances in metagenomic sequencing technologies, there are accumulating studies revealing the associations between the human gut microbiome and some human diseases. These associations shed light on using gut microbiome data to distinguish case and control samples of a specific disease, which is also called host disease status classification. Importantly, using learning-based models to distinguish the disease and control samples is expected to identify important biomarkers more accurately than abundance-based statistical analysis. However, available tools have not fully addressed two challenges associated with this task: limited labeled microbiome data and decreased accuracy in cross-studies. The confounding factors, such as the diet, technical biases in sample colle

SUBMITTER: Liao H 

PROVIDER: S-EPMC10749762 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature