Support vector machines in the prediction of mutagenicity of chemical compounds

Thomas Ferrari, Giuseppina Gini, Emilio Benfenati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we introduce the problem of predicting the mutagenic toxicity property of chemical compounds and we discuss how this can be partially formulated as a computational intelligence problem. Then we develop a statistical model based on a selected set of descriptors of the molecular structure. The classifier, that we derived from SVM methods, outperforms the available methods in performance and simplicity.

Original languageEnglish
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
DOIs
Publication statusPublished - 2009
Event2009 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2009 - Cincinnati, OH, United States
Duration: Jun 14 2009Jun 17 2009

Other

Other2009 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2009
CountryUnited States
CityCincinnati, OH
Period6/14/096/17/09

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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