Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets
about
ProbCD: enrichment analysis accounting for categorization uncertaintySystematic analysis of experimental phenotype data reveals gene functions.Improving protein function prediction methods with integrated literature data.Multiconstrained gene clustering based on generalized projections.Using information mining of the medical literature to improve drug safety.Frontiers of biomedical text mining: current progress.
P2860
Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets
description
2006 nî lūn-bûn
@nan
2006 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2006年の論文
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2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
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name
Combining evidence, biomedical ...... tional annotation of gene sets
@ast
Combining evidence, biomedical ...... tional annotation of gene sets
@en
type
label
Combining evidence, biomedical ...... tional annotation of gene sets
@ast
Combining evidence, biomedical ...... tional annotation of gene sets
@en
prefLabel
Combining evidence, biomedical ...... tional annotation of gene sets
@ast
Combining evidence, biomedical ...... tional annotation of gene sets
@en
P2093
P2860
P356
P1433
P1476
Combining evidence, biomedical ...... tional annotation of gene sets
@en
P2093
Annabelle Monnier
Celine Chicault
Jean Mosser
Marc Aubry
Marie de Tayrac
Marie-Dominique Galibert
P2860
P2888
P356
10.1186/1471-2105-7-241
P50
P577
2006-05-04T00:00:00Z
P5875
P6179
1031391513