Development of predictive models by adaptive fuzzy partitioning. Application to compounds active on the central nervous system

Chemometrics and Intelligent Laboratory Systems

Volumn 67, Issue 1, 2003, Pages 29-50

  Ros, F ^a   Taboureau, O ^a   Pintore, M ^b   Chretien J R ^a,b  

^a UNIVERSITÉ D'ORLÉANS   (France)

^b BioChemics Consulting   (France)

Author keywords

CNS active compounds; Data mining; Fuzzy Logic; Structure activity relationships

Indexed keywords

ANALYTIC METHOD; BIOCHEMISTRY; CENTRAL NERVOUS SYSTEM; CONFERENCE PAPER; DATA BASE; MINING; MODEL; MOLECULAR DYNAMICS; PARTITION COEFFICIENT; PREDICTION; PRIORITY JOURNAL; SENSIBILITY; TRAINING; VALIDATION PROCESS;

EID: 0037671488     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(03)00059-5     Document Type: Conference Paper

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