Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge.
about
Advances in translational bioinformatics: computational approaches for the hunting of disease genesThe semantic web in translational medicine: current applications and future directionsStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewSemantic mashup of biomedical dataInferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationshipsClinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontologyDrug repositioning for orphan diseases.Prioritization of candidate genes for periodontitis using multiple computational tools.Phenomics of Vascular Disease: The Systematic Approach to the Combination Therapy.
P2860
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P2860
Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Identifying disease-causal gen ...... enomic and phenomic knowledge.
@en
type
label
Identifying disease-causal gen ...... enomic and phenomic knowledge.
@en
prefLabel
Identifying disease-causal gen ...... enomic and phenomic knowledge.
@en
P2093
P1476
Identifying disease-causal gen ...... enomic and phenomic knowledge.
@en
P2093
Eric K Neumann
Ranga Chandra Gudivada
Xiaoyan A Qu
P304
P356
10.1016/J.JBI.2008.07.004
P577
2008-08-23T00:00:00Z