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Volumn , Issue , 2007, Pages 277-280

Deriving quantitative structure-activity relationship models using genetic programming for drug discovery

Author keywords

Genetic programming; QSAR; Selwood dataset

Indexed keywords

CHEMICAL ANALYSIS; FORECASTING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; HEURISTIC ALGORITHMS; MOLECULAR GRAPHICS; MOLECULES;

EID: 50049121941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2007.4407401     Document Type: Conference Paper
Times cited : (3)

References (15)
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  • 6
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    • W. B Langdon and S. J. Barrett, "Genetic Programming in Data Mining for Drug Discovery," in Evolutionary Computing in Data Mining, A. Ghosh and L. C. Jain (Eds), Springer, 2004, ch. 10, pp. 211-235.
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    • Langdon, W.B.1    Barrett, S.J.2
  • 10
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    • Variable selection in QSARs studies. II. A highly efficient combination of systematic search and evolution
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    • Comparison of different data set screening methods for use in QSAR/QSPR generation studies
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.