Abstract
The number of articles concerning optimization and applications of multivariate techniques in drug discovery testifies the growing importance attributed to these methods. This mini review focuses on some of the basic and most employed multivariate techniques in drug discovery research. Examples from the literature were selected to illustrate a number of potential applications.
Keywords: multivariate data analysis, unsupervised methods, classification analysis, regression analysis, artificial neural networks, tutorial
Mini-Reviews in Medicinal Chemistry
Title: Applied Introduction to Multivariate Methods Used in Drug Discovery
Volume: 3 Issue: 8
Author(s): Eugenia Migliavacca
Affiliation:
Keywords: multivariate data analysis, unsupervised methods, classification analysis, regression analysis, artificial neural networks, tutorial
Abstract: The number of articles concerning optimization and applications of multivariate techniques in drug discovery testifies the growing importance attributed to these methods. This mini review focuses on some of the basic and most employed multivariate techniques in drug discovery research. Examples from the literature were selected to illustrate a number of potential applications.
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Cite this article as:
Migliavacca Eugenia, Applied Introduction to Multivariate Methods Used in Drug Discovery, Mini-Reviews in Medicinal Chemistry 2003; 3 (8) . https://dx.doi.org/10.2174/1389557033487674
DOI https://dx.doi.org/10.2174/1389557033487674 |
Print ISSN 1389-5575 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5607 |
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