Inferring Aggregated Functional Traits from Metagenomic Data Using Constrained Non-negative Matrix Factorization: Application to Fiber Degradation in the Human Gut Microbiota

PLoS computational biology, 2016-12, Vol.12 (12), p.e1005252-e1005252 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Raguideau S, Plancade S, Pons N, Leclerc M, Laroche B (2016) Inferring Aggregated Functional Traits from Metagenomic Data Using Constrained Non-negative Matrix Factorization: Application to Fiber Degradation in the Human Gut Microbiota. PLoS Comput Biol 12(12): e1005252. doi:10.1371/journal.pcbi.1005252 ;Distributed under a Creative Commons Attribution 4.0 International License ;2016 Raguideau et al 2016 Raguideau et al ;2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Raguideau S, Plancade S, Pons N, Leclerc M, Laroche B (2016) Inferring Aggregated Functional Traits from Metagenomic Data Using Constrained Non-negative Matrix Factorization: Application to Fiber Degradation in the Human Gut Microbiota. PLoS Comput Biol 12(12): e1005252. doi:10.1371/journal.pcbi.1005252 ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1005252 ;PMID: 27984592

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