Human-associated microbial signatures: examining their predictive value.
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.
Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.
Dan
D
Knights
Laura Wegener
LW
Parfrey
Jesse
J
Zaneveld
Catherine
C
Lozupone
Rob
R
Knight
D001185:Artificial Intelligence; D044822:Biodiversity; D006801:Humans; D054892:Metagenome; D011237:Predictive Value of Tests