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Volumn 20, Issue 4, 2001, Pages 33-40

Integrative data mining: The new direction in bioinformatics. Machine learning for analyzing genome-wide expression profiles and proteomics data sets

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYSIS; DATA BASE; GENE EXPRESSION; GENE SEQUENCE; GENETIC ANALYSIS; GENOME; INFORMATION SCIENCE; MEDICAL RESEARCH; REVIEW;

EID: 0034891848     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.940042     Document Type: Review
Times cited : (37)

References (45)
  • 20
    • 0033597176 scopus 로고    scopus 로고
    • The relationship between protein structure and function: A comprehensive survey with application to the yeast genome
    • (1999) J. Mol. Biol. , vol.288 , pp. 147-164
    • Hegyi, H.1    Gerstein, M.2
  • 22
    • 0032387685 scopus 로고    scopus 로고
    • Patterns of protein-fold usage in eight microbial genomes: A comprehensive structural census
    • (1998) Proteins , vol.33 , pp. 518-534
    • Gerstein, M.1
  • 40
    • 0034714135 scopus 로고    scopus 로고
    • A Bayesian system integrating expression data with sequence patterns for localizing proteins: Comprehensive application to the yeast genome
    • (2000) J. Mol. Biol. , vol.301 , pp. 1059-1075
    • Drawid, A.1    Gerstein, M.2
  • 43
    • 84862717300 scopus 로고    scopus 로고


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.