Decision trees versus support vector machine for classification of androgen receptor ligands

SAR and QSAR in Environmental Research

Volumn 19, Issue 1-2, 2008, Pages 129-151

  Panaye, A ^a   Doucet, J P ^a   Devillers, J ^b   Marchand Geneste, N ^c   Porcher, J M ^d  

^a UNIVERSITÉ PARIS DIDEROT   (France)

^b CTIS   (France)

^c INSTITUT DES SCIENCES MOLÉCULAIRES   (France)

^d INSTITUT NATIONAL DE L ENVIRONNEMENT INDUSTRIEL ET DES RISQUES INERIS   (France)

Author keywords

Androgen receptor; Decision tree; Endocrine disruptors; Partitioning; Support vector machine

Indexed keywords

BINDING ENERGY; CLASSIFICATION (OF INFORMATION); DECISION TREES; INDICATORS (CHEMICAL); INDUSTRIAL CHEMICALS; QUANTUM CHEMISTRY;

'CURRENT; ACTIVE COMPOUNDS; ANDROGEN RECEPTORS; DESCRIPTORS; ENDOCRINE-DISRUPTORS; IN-SILICO MODELS; PARTITIONING; RECEPTOR LIGANDS; RELATIVE BINDING AFFINITY; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 40249111659     PISSN: 1062936X     EISSN: 1029046X     Source Type: Journal    
DOI: 10.1080/10629360701843441     Document Type: Article

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