Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4361198 | Cell Host & Microbe | 2011 | 5 Pages |
Abstract
SummaryHost-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.
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Authors
Dan Knights, Laura Wegener Parfrey, Jesse Zaneveld, Catherine Lozupone, Rob Knight,