Multi-level analysis of the gut-brain axis shows autism spectrum disorder-associated molecular and microbial profiles.

To determine whether these highly significant microbiome signals ( P < 0.0025) could be used to distinguish children with ASD from their age-matched and sex-matched control counterparts, we trained random forest classifiers on train/validation/test splits of data derived from 16S-targeted sequencing and SMS–whole-genome sequencing of microbial communities.

also in 132,142 other papers