BiomeNet: a Bayesian model for inference of metabolic divergence among microbial communities
about
BioMiCo: a supervised Bayesian model for inference of microbial community structure.Inferring Microbial Interactions in the Gut of the Hong Kong Whipping Frog (Polypedates megacephalus) and a Validation Using Probiotics.Learning Microbial Community Structures with Supervised and Unsupervised Non-negative Matrix Factorization.Novel Strategies for Applied Metagenomics.The Gut Microbiome of Pediatric Crohn's Disease Patients Differs from Healthy Controls in Genes That Can Influence the Balance Between a Healthy and Dysregulated Immune Response.The best models of metabolism.Resources and tools for the high-throughput, multi-omic study of intestinal microbiota.Experimental design and quantitative analysis of microbial community multiomics.Community structure informs species geographic distributions.
P2860
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P2860
BiomeNet: a Bayesian model for inference of metabolic divergence among microbial communities
description
2014 nî lūn-bûn
@nan
2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
BiomeNet: a Bayesian model for ...... ce among microbial communities
@ast
BiomeNet: a Bayesian model for ...... ce among microbial communities
@en
BiomeNet: a Bayesian model for ...... ce among microbial communities
@nl
type
label
BiomeNet: a Bayesian model for ...... ce among microbial communities
@ast
BiomeNet: a Bayesian model for ...... ce among microbial communities
@en
BiomeNet: a Bayesian model for ...... ce among microbial communities
@nl
prefLabel
BiomeNet: a Bayesian model for ...... ce among microbial communities
@ast
BiomeNet: a Bayesian model for ...... ce among microbial communities
@en
BiomeNet: a Bayesian model for ...... ce among microbial communities
@nl
P2093
P2860
P1476
BiomeNet: a Bayesian model for ...... ce among microbial communities
@en
P2093
Hugh Chipman
Mahdi Shafiei
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003918
P577
2014-11-20T00:00:00Z