| Literature DB >> 22018228 |
Dan Knights1, Laura Wegener Parfrey, Jesse Zaneveld, Catherine Lozupone, Rob Knight.
Abstract
Host-associated microbial communities are unique to individuals, affect host health, and correlate with disease states. Although advanced technologies capture detailed snapshots of microbial communities, high within- and between-subject variation hampers discovery of microbial signatures in diagnostic or forensic settings. We suggest turning to machine learning and discuss key directions toward harnessing human-associated microbial signatures.Entities:
Mesh:
Year: 2011 PMID: 22018228 PMCID: PMC3879110 DOI: 10.1016/j.chom.2011.09.003
Source DB: PubMed Journal: Cell Host Microbe ISSN: 1931-3128 Impact factor: 21.023