Identification of microbial interaction network: zero-inflated latent Ising model based approach.

ABSTRACT:

Background

Throughout their lifespans, humans continually interact with the microbial world, including those organisms which live in and on the human body. Research in this domain has revealed the extensive links between the human-associated microbiota and health. In particular, the microbiota of the human gut plays essential roles in digestion, nutrient metabolism, immune maturation and homeostasis, neurological signaling, and endocrine regulation. Microbial interaction networks are frequently estimated from data and are an indispensable tool for representing and understanding the conditional correlation between the microbes. In this high-dimensional setting, zero-inflation and unit-sum constraint for relative abundance data pose challenges to the reliable estimation of microbial

SUBMITTER: Zhou J 

PROVIDER: S-EPMC7542390 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature