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Volumn 26, Issue 15, 2010, Pages 1924-1925

Phenoclustering: Online mining of cross-species phenotypes

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; DATA MINING; INTERNET; METHODOLOGY; PHENOTYPE;

EID: 77955032112     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq311     Document Type: Article
Times cited : (17)

References (5)
  • 1
    • 33846036091 scopus 로고    scopus 로고
    • PhenomicDB: a new cross-species genotype/phenotype resource
    • Groth,P. et al. (2007) PhenomicDB: a new cross-species genotype/phenotype resource. Nucleic Acids Res., 35, D696-D699.
    • (2007) Nucleic Acids Res. , vol.35
    • Groth, P.1
  • 2
    • 85175697145 scopus 로고    scopus 로고
    • Phenotype Data: a neglected resource in biomedical research?
    • Groth,P. and Weiss,B. (2006) Phenotype Data: a neglected resource in biomedical research? Curr. Bioinformatics, 1, 347-358.
    • (2006) Curr. Bioinformatics , vol.1 , pp. 347-358
    • Groth, P.1    Weiss, B.2
  • 3
    • 42249096794 scopus 로고    scopus 로고
    • Mining phenotypes for gene function prediction
    • Groth,P. et al. (2008) Mining phenotypes for gene function prediction. BMC Bioinformatics, 9, 136.
    • (2008) BMC Bioinformatics , vol.9 , pp. 136
    • Groth, P.1
  • 4
    • 26844450908 scopus 로고    scopus 로고
    • The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information
    • Smith,C.L. et al. (2005) The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information. Genome Biol., 6,R7.
    • (2005) Genome Biol. , vol.6
    • Smith, C.L.1
  • 5
    • 72949116593 scopus 로고    scopus 로고
    • Linking human diseases to animal models using ontology-based phenotype annotation
    • Washington,N.L. et al. (2009)Linking human diseases to animal models using ontology-based phenotype annotation. PLoS Biol., 7, e1000247.
    • (2009) PLoS Biol. , vol.7
    • Washington, N.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.