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Volumn 13, Issue 1, 2007, Pages 275-282

Bayesian data mining of protein domains gives an efficient predictive algorithm and new insight

Author keywords

Bayes' classification; Probability computation; PROMOTIF; Proteins structural domains; PSIPRED

Indexed keywords

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; COMPUTER ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MOLECULAR MODEL; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN DOMAIN; PROTEIN FOLDING; PROTEIN FUNCTION; PROTEIN LOCALIZATION; PROTEIN MOTIF; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

EID: 34249327161     PISSN: 16102940     EISSN: 09485023     Source Type: Journal    
DOI: 10.1007/s00894-006-0141-z     Document Type: Article
Times cited : (6)

References (20)
  • 16
    • 0003766029 scopus 로고    scopus 로고
    • Berthold M, Hand DJ (eds) Springer, Berlin Heidelberg New York
    • Berthold M, Hand DJ (eds) (1999) Intelligent data analysis. Springer, Berlin Heidelberg New York
    • (1999) Intelligent Data Analysis


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.