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Volumn 9, Issue 4, 2000, Pages 329-358

Knowledge discovery and data mining in toxicology

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; DATA ANALYSIS; DATA BASE; INFORMATION PROCESSING; LEARNING; MEDICAL RESEARCH; PREDICTION; PROBLEM SOLVING; REVIEW; STATISTICAL MODEL; TOXICOLOGY;

EID: 0033763036     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/096228020000900403     Document Type: Review
Times cited : (47)

References (92)
  • 25
    • 0032565550 scopus 로고    scopus 로고
    • Structure-based methods for predicting mutagenicity and carcinogenicity: Are we there yet?
    • (1998) Mutation Research , vol.400 , pp. 493-507
    • Richard, A.M.1
  • 26
    • 0028873540 scopus 로고
    • Predicting chemical carcinogenesis in rodents: The state of art in light of a comparative exercise
    • (1995) Mutation Research , vol.334 , pp. 103-113
    • Benigni, R.1
  • 27
    • 0028057431 scopus 로고
    • Application of SAR methods to non-congeneric data bases associated with carcinogenicity and mutagenicity: Issues and approaches
    • (1994) Mutation Research , vol.305 , pp. 73-97
    • Richard, A.M.1
  • 47
    • 0027406601 scopus 로고
    • The influence of chemical structure on the extent and sites of carcinogenesis for 522 rodent carcinogens and 55 different human carcinogen exposures
    • (1993) Mutation Research , vol.286 , pp. 3-74
    • Ashby, J.1    Paton, D.2
  • 48
    • 0025131035 scopus 로고
    • Evaluating the ability of CASE, an artificial intelligence structure-activity relational system, to predict structural alerts for genotoxicity
    • (1990) Mutagenesis , vol.5 , pp. 525-527
    • Rosenkranz, H.S.1    Klopman, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.