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QSAR study of VEGFR-2 inhibitors by using genetic algorithm-multiple linear regressions (GA-MLR) and genetic algorithm-support vector machine (GA-SVM): a comparative approach by Mehdi Nekoei & Majid Mohammadhosseini & Eslam Pourbasheer

Author:Mehdi Nekoei & Majid Mohammadhosseini & Eslam Pourbasheer , Date: February 11, 2022 ,Views: 1

QSAR study of VEGFR-2 inhibitors by using genetic algorithm-multiple linear regressions (GA-MLR) and genetic algorithm-support vector machine (GA-SVM): a comparative approach by Mehdi Nekoei & Majid Mohammadhosseini & Eslam Pourbasheer

Author:Mehdi Nekoei & Majid Mohammadhosseini & Eslam Pourbasheer
Format: pdf
Tags: Vascular endothelial growth factor receptor 2 (VEGFR-2) inhibitors; Inhibitory activity; QSAR; Genetic algorithm; Multiple linear regression (MLR); Support vector machine (SVM)
Publisher: Springer US
Published: 2015-04-17T06:52:27+00:00


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QSAR study of VEGFR-2 inhibitors by using genetic algorithm-multiple linear regressions (GA-MLR) and genetic algorithm-support vector machine (GA-SVM): a comparative approach by Mehdi Nekoei & Majid Mohammadhosseini & Eslam Pourbasheer.pdf


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