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- ISSN: 1568-0266
- E-ISSN: 1873-4294
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Decision Tree Methods in Pharmaceutical Research
- Source: Current Topics in Medicinal Chemistry, Volume 6, Issue 1, Jan 2006, p. 31 - 39
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- 01 Jan 2006
Abstract
Decision trees are among the most popular of the new statistical learning methods being used in the pharmaceutical industry for predicting quantitative structure-activity relationships. This article reviews applications of decision trees in drug discovery research and extensions to the basic algorithm using hybrid or ensemble methods that improve prediction accuracy.
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