Genestrace: phenomic knowledge discovery via structured terminology.
about
Mapping proteins to disease terminologies: from UniProt to MeSHPhenoGO: an integrated resource for the multiscale mining of clinical and biological data.MeSHing molecular sequences and clinical trials: a feasibility studyBio-Ontology and text: bridging the modeling gap.PhenoGO: assigning phenotypic context to gene ontology annotations with natural language processing.Using semantic and structural properties of the Unified Medical Language System to discover potential terminological relationshipsKnowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.Computational approaches to phenotyping: high-throughput phenomics.eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs.
P2860
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P2860
Genestrace: phenomic knowledge discovery via structured terminology.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Genestrace: phenomic knowledge discovery via structured terminology.
@ast
Genestrace: phenomic knowledge discovery via structured terminology.
@en
type
label
Genestrace: phenomic knowledge discovery via structured terminology.
@ast
Genestrace: phenomic knowledge discovery via structured terminology.
@en
prefLabel
Genestrace: phenomic knowledge discovery via structured terminology.
@ast
Genestrace: phenomic knowledge discovery via structured terminology.
@en
P2860
P1476
Genestrace: phenomic knowledge discovery via structured terminology
@en
P2093
Indra Neil Sarkar
Olivier Bodenreider
P2860
P304
P577
2005-01-01T00:00:00Z