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Structure validation
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161	CHAPTER 6 Ovidiu Ivanciuc. Applications of Support Vector Machines in Chemistry. In: Reviews in Computational Chemistry, Volume 23, Eds.: K. B. Lipkowitz and T. R. Cundari. Wiley-VCH, Weinheim, 2007, pp. 291–400. Appl Add to Reading List Source URL: www.ivanciuc.org Language: English - Date: 2009-01-18 01:27:31 Support vector machines Least squares support vector machine Kernel methods Cross-validation Quantitative structure–activity relationship Supervised learning Linear classifier Kernel principal component analysis Shogun Statistics Machine learning Statistical classification
162	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Model selection Bayesian statistics K-nearest neighbor algorithm Support vector machine Feature selection Cross-validation Linear discriminant analysis Naive Bayes classifier Supervised learning Statistics Statistical classification Machine learning
163	Additional file 9: Validation dataset Code Description No. of subgroup No. of Family member Representative PDB structure code No. of subsites Structural Class and Fold Sequence identity (%) RMSD Alignment length Source Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Biochemistry Signal transduction Transforming growth factor beta GTPase Biology Protein domains Protein structure
164	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Econometrics Analysis of variance Causality Conditionals Economic model Interaction Random forest Cross-validation Feature selection Statistics Model selection Regression analysis
165	PDF Document Add to Reading List Source URL: www.ivanciuc.org Language: English - Date: 2008-06-16 15:13:37 Support vector machines Least squares support vector machine Kernel methods Cross-validation Quantitative structure–activity relationship Supervised learning Linear classifier Kernel principal component analysis Shogun Statistics Machine learning Statistical classification