Quantitative structure-retention relationships for mycotoxins and fungal metabolites in LC-MS/MS

Journal of Separation Science

Volumn 32, Issue 22, 2009, Pages 3967-3979

  Ji, Caihong ^a,b   Li, Yanwei ^a   Su, Li ^a   Zhang, Xiaoyun ^a   Chen, Xingguo ^a  

^a LANZHOU UNIVERSITY   (China)

^b Gansu Lianhe University ^*  (China)

Author keywords

Heuristic method; LC MS MS; Mycotoxins and fungal metabolites; Quantitative structure retention relationship; Radial basis function neural networks

Indexed keywords

CORRELATION COEFFICIENT; EXPERIMENT DATA; FUNGAL METABOLITES; LC-MS/MS; MOLECULAR DESCRIPTORS; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; RADIAL BASIS FUNCTION NEURAL NETWORKS; RETENTION TIME; ROOT MEAN SQUARE ERRORS; TEST SETS;

ATTITUDE CONTROL; BIOMOLECULES; HEURISTIC METHODS; METABOLISM; METABOLITES; NEURAL NETWORKS; STATISTICAL TESTS; SULFUR COMPOUNDS;

RADIAL BASIS FUNCTION NETWORKS;

FUNGAL METABOLITE; FUNGAL PROTEIN; MYCOTOXIN; UNCLASSIFIED DRUG;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CONTROLLED STUDY; HEURISTIC METHOD; LIQUID CHROMATOGRAPHY; MACHINE LEARNING; MASS SPECTROMETRY; MODEL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE RETENTION RELATIONSHIP; RADIAL BASIS FUNCTION NEURAL NETWORK; STRUCTURE ACTIVITY RELATION;

FUNGI; MODELS, THEORETICAL; MYCOTOXINS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 76649126417     PISSN: 16159306     EISSN: 16159314     Source Type: Journal    
DOI: 10.1002/jssc.200900441     Document Type: Article

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