Human-associated microbial signatures: Examining their predictive value

Dan Knights, Laura Wegener Parfrey, Jesse Zaneveld, Catherine Lozupone, Rob Knight

Research output: Contribution to journalComment/debatepeer-review

76 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)292-296
Number of pages5
JournalCell Host and Microbe
Volume10
Issue number4
DOIs
StatePublished - Oct 4 2011

Bibliographical note

Funding Information:
This piece describes work in our lab funded in part by the Crohns and Colitis Foundation of America, the National Institutes of Health, the Bill and Melinda Gates Foundation, the Colorado Center for Biofuels and Biorefining, and the Howard Hughes Medical Institute.

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