Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies.
about
What was old is new again: using the host response to diagnose infectious disease.A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2.Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.Unsupervised Bayesian linear unmixing of gene expression microarraysA Factor Analysis Approach for Clustering Patient Reported Outcomes.Dynamic transcriptional signatures and network responses for clinical symptoms in influenza-infected human subjects using systems biology approaches.Synergy-COPD: a systems approach for understanding and managing chronic diseases.A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
P2860
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P2860
Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Bayesian inference of the numb ...... human virus challenge studies.
@ast
Bayesian inference of the numb ...... human virus challenge studies.
@en
type
label
Bayesian inference of the numb ...... human virus challenge studies.
@ast
Bayesian inference of the numb ...... human virus challenge studies.
@en
prefLabel
Bayesian inference of the numb ...... human virus challenge studies.
@ast
Bayesian inference of the numb ...... human virus challenge studies.
@en
P2093
P2860
P356
P1433
P1476
Bayesian inference of the numb ...... human virus challenge studies.
@en
P2093
Aimee Zaas
Alfred Hero
Christopher Woods
David Dunson
Geoffrey S Ginsburg
John Paisley
Joseph Lucas
Minhua Chen
P2860
P2888
P356
10.1186/1471-2105-11-552
P577
2010-11-09T00:00:00Z