Application of artificial neural network to predict the retention time of drug metabolites in two-dimensional liquid chromatography

Drug Testing and Analysis

Volumn 5, Issue 5, 2013, Pages 315-319

  Noorizadeh, H ^a   Sobhan Ardakani, S ^b   Raoofi, F ^a   Noorizadeh, M ^a   Mortazavi, S S ^b   Ahmadi, T ^a   Pournajafi, K ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Drug metabolism; Genetic algorithm; Levenberg Marquardt artificial neural network; Partial least square; Two dimensional liquid chromatography

Indexed keywords

LEAST SQUARES APPROXIMATIONS; LIQUID CHROMATOGRAPHY; METABOLITES; NEURAL NETWORKS;

CROSS VALIDATION; DESCRIPTORS; DRUG METABOLISMS; DRUG METABOLITES; LEVENBERG-MARQUARDT ARTIFICIAL NEURAL NETWORKS; NEURAL NETWORK TECHNIQUES; PARTIAL LEAST-SQUARES; RETENTION TIME; TEST SETS; TWO-DIMENSIONAL LIQUID CHROMATOGRAPHY;

GENETIC ALGORITHMS;

DRUG METABOLITE;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; GENETIC ALGORITHM; INTERMETHOD COMPARISON; LIQUID CHROMATOGRAPHY; PREDICTION; PRIORITY JOURNAL;

EID: 84878217212     PISSN: 19427603     EISSN: 19427611     Source Type: Journal    
DOI: 10.1002/dta.325     Document Type: Article

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