Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values.

ABSTRACT:

Background

A recent breakthrough in differential network (DN) analysis of microbiome data has been realized with the advent of next-generation sequencing technologies. The DN analysis disentangles the microbial co-abundance among taxa by comparing the network properties between two or more graphs under different biological conditions. However, the existing methods to the DN analysis for microbiome data do not adjust for other clinical differences between subjects.

Results

We propose a Statistical Approach via Pseudo-value Information and Estimation for Differential Network Analysis (SOHPIE-DNA) that incorporates additional covariates such as continuous age and categorical BMI. SOHPIE-DNA is a regression technique adopting jackknife pseudo-values that can be implemented readi

SUBMITTER: Ahn S 

PROVIDER: S-EPMC10946111 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature