The Use of Enhanced Chemometric Methods in QSAR and Pattern Recognition Studies, Ph.D. Dissertation Sharif University of Technology ; Jalali Heravi, Mehdi (Supervisor)
Abstract
Chemometrics is an interdisciplinary subject which has many applications among science and industrial process. Environmental chemist, Food chemist, biologist and so on depend on good analytical chemistry measurement and so need chemometrics to interpret their data. In this project, we have developed different chemometrics and machine learning methods for considering the quantitative structure-activity relationship between different drug-like molecules. Also some chemometrics techniques were applied for the pattern recognition of NIR data on human plasma for discriminating between healthy and infected HIV-1 patients. At first, Quantitative structure-activity relationship (QSAR) models for...
Cataloging briefThe Use of Enhanced Chemometric Methods in QSAR and Pattern Recognition Studies, Ph.D. Dissertation Sharif University of Technology ; Jalali Heravi, Mehdi (Supervisor)
Abstract
Chemometrics is an interdisciplinary subject which has many applications among science and industrial process. Environmental chemist, Food chemist, biologist and so on depend on good analytical chemistry measurement and so need chemometrics to interpret their data. In this project, we have developed different chemometrics and machine learning methods for considering the quantitative structure-activity relationship between different drug-like molecules. Also some chemometrics techniques were applied for the pattern recognition of NIR data on human plasma for discriminating between healthy and infected HIV-1 patients. At first, Quantitative structure-activity relationship (QSAR) models for...
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