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Volumn 45, Issue 5, 2002, Pages 1098-1107

Feature selection for structure-activity correlation using binary particle swarms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; INTERMETHOD COMPARISON; MEDICAL LITERATURE; POSITIVE FEEDBACK; PROBABILITY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SAMPLING; SIMULATION; STOCHASTIC MODEL; VALIDATION PROCESS;

EID: 0037186503     PISSN: 00222623     EISSN: None     Source Type: Journal    
DOI: 10.1021/jm0104668     Document Type: Article
Times cited : (163)

References (38)
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  • 5
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    • Applications of neural networks: Quantitative structure-activity relationhips of the derivatives of 2,4-diamino-(5-substituted-benzyl)pyrimidines as DHFR inhibitors
    • (1992) J. Med. Chem. , vol.35 , pp. 3201-3207
    • So, S.-S.1    Richards, W.G.2
  • 10
    • 0028548591 scopus 로고
    • Evolutionary programming applied to the development of quantitative structure-activity relationships and quantitative structure-property relationships
    • (1994) J. Chem. Inf. Comput. Sci. , vol.34 , pp. 1279-1287
    • Luke, B.T.1
  • 12
    • 0029970338 scopus 로고    scopus 로고
    • Evolutionary optimization in quantitative structure -activity relationship: An application of genetic neural networks
    • (1996) J. Med. Chem. , vol.39 , pp. 1521-1530
    • So, S.1    Karplus, M.2
  • 24
    • 0002441796 scopus 로고
    • Some problems involving linear hypotheses in multivariate analysis
    • (1959) Biometrika , vol.46 , pp. 49-58
    • Rao, C.R.1
  • 33
    • 85066771737 scopus 로고    scopus 로고
    • Copyright by 3-Dimensional Pharmaceuticals, Inc., 1994-2000


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.