Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease.

ABSTRACT: Microbiomes are complex ecological systems that play crucial roles in understanding natural phenomena from human disease to climate change. Especially in human gut microbiome studies, where collecting clinical samples can be arduous, the number of taxa considered in any one study often exceeds the number of samples ten to one hundred-fold. This discrepancy decreases the power of studies to identify meaningful differences between samples, increases the likelihood of false positive results, and subsequently limits reproducibility. Despite the vast collections of microbiome data already available, biome-specific patterns of microbial structure are not currently leveraged to inform studies. Here, we derive microbiome-level properties by applying an embedding algorithm to quantify taxon co-occu

SUBMITTER: Tataru CA 

PROVIDER: S-EPMC7244183 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature