MNFE: microbiome network flow entropy for detecting pre-disease states of type 1 diabetes.

ABSTRACT: In the development of Type 1 diabetes (T1D), there are critical states just before drastic changes, and identifying these pre-disease states may predict T1D or provide crucial early-warning signals. Unlike gene expression data, gut microbiome data can be collected noninvasively from stool samples. Gut microbiome sequencing data contain different levels of phylogenetic information that can be utilized to detect the tipping point or critical state in a reliable manner, thereby providing accurate and effective early-warning signals. However, it is still difficult to detect the critical state of T1D based on gut microbiome data due to generally non-significant differences between healthy and critical states. To address this problem, we proposed a new method - microbiome network flow entropy (m

SUBMITTER: Gao R 

PROVIDER: S-EPMC10962612 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature