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Quantitative Sequence- Activity Model Analysis of Oligopeptides Coupling an Improved High- Dimension Feature Selection Method with Support Vector Regression
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来源：CHEMICAL BIOLOGY & DRUG DESIGN年份：2014关键词： feature selection high-dimension feature oligopeptides quantitative sequence-activity model support vector machine
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A pipeline for improved QSAR analysis of peptides: physiochemical property parameter selection via BMSF, near-neighbor sample selection via semivariogram, and weighted SVR regression and prediction
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关键词： Peptides Quantitative structure-activity regression Feature selection Semivariogram Support vector regression
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