Applied Introduction to Multivariate Methods Used in Drug Discovery

Eugenia      Migliavacca

doi:10.2174/1389557033487674

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

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Mini-Reviews in Medicinal Chemistry

Title: Applied Introduction to Multivariate Methods Used in Drug Discovery

Volume: 3 Issue: 8

Author(s): Eugenia Migliavacca

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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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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