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Volumn 439, Issue , 2008, Pages 369-386

GeneFAS: A tool for prediction of gene function using multiple sources of data

Author keywords

Function prediction; High throughput data; Meta analysis; Microarray data; Protein protein interaction

Indexed keywords


EID: 84934439514     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-59745-188-8_25     Document Type: Article
Times cited : (2)

References (9)
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    • Chen, Y.1    Xu, D.2
  • 2
    • 13844271482 scopus 로고    scopus 로고
    • Genome-scale gene function prediction using multiple sources of high-throughput data in yeast Saccharomyces cerevisiae. OMICS
    • Joshi T, Chen Y, Becker J, Alexandrov N, Xu D (2004) Genome-scale gene function prediction using multiple sources of high-throughput data in yeast Saccharomyces cerevisiae. OMICS: J Integrative Biol 8:322-333
    • (2004) J Integrative Biol , vol.8 , pp. 322-333
    • Joshi, T.1    Chen, Y.2    Becker, J.3    Alexandrov, N.4    Xu, D.5
  • 3
    • 13444283846 scopus 로고    scopus 로고
    • Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae
    • Chen Y, Xu D (2004) Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae. Nucl. Acids Res 32:6414-6424
    • (2004) Nucl. Acids Res , vol.32 , pp. 6414-6424
    • Chen, Y.1    Xu, D.2
  • 4
    • 0034069495 scopus 로고    scopus 로고
    • The Gene Ontology Consortium
    • The Gene Ontology Consortium (2000) Nature Genetics 25:25-29
    • (2000) Nature Genetics , vol.25 , pp. 25-29
  • 5
    • 1542271409 scopus 로고    scopus 로고
    • Predicting protein function from protein/protein interaction data: A probabilistic approach
    • Letovsky S, Kasif S (2003) Predicting protein function from protein/protein interaction data: a probabilistic approach. Bioinformatics 19:1197-1204
    • (2003) Bioinformatics , vol.19 , pp. 1197-1204
    • Letovsky, S.1    Kasif, S.2
  • 6
    • 0038492417 scopus 로고    scopus 로고
    • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)
    • Troyanskaya O, Dolinski K, Owen A, Altman R, Botstein D (2003) A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae). Proc Natl Acad Sci USA 100:8348-8353
    • (2003) Proc Natl Acad Sci USA , vol.100 , pp. 8348-8353
    • Troyanskaya, O.1    Dolinski, K.2    Owen, A.3    Altman, R.4    Botstein, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.