Prediction of retention times of peptides in RPLC by using radial basis function neural networks and projection pursuit regression

Chemometrics and Intelligent Laboratory Systems

Volumn 92, Issue 1, 2008, Pages 92-99

  Du, Hongying ^a   Wang, Jie ^a   Zhang, Xiaoyun ^a   Yao, Xiaojun ^a   Hu, Zhide ^a  

^a LANZHOU UNIVERSITY   (China)

Author keywords

Peptides; Projection pursuit regression; Quantitative structure retention relationship; Radial basis function neural networks; Reversed phase liquid chromatography

Indexed keywords

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; LINEAR SYSTEM; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; PROJECTION PURSUIT REGRESSION; QUANTITATIVE ANALYSIS; QUANTITATIVE STRUCTURE RETENTION RELATIONSHIP; REGRESSION ANALYSIS; REVERSED PHASE LIQUID CHROMATOGRAPHY; THEORETICAL MODEL;

EID: 42749090818     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2007.12.005     Document Type: Article

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