A new method of DNA probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy

R. Natowicz, A. P. Braga, R. Incitti, E. G. Horta, R. Rouzier, T. S. Rodrigues, M. A. Costa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

DNA microarrays technology has emerged as a major tool to explore cancer biology and solve clinical issues. The response to chemotherapy represents such an issue because its prediction would make it possible to give the patients the most appropriate chemotherapy regimen. We propose a new method of probes selection, and we study the performances of predictors designed with multi-objective neural network (MOBJ-NN) taking as input the expression levels of the selected probes. The novelty of this paper is to link the method of probes selection and the MOBJ-NN model for designing multi-gene predictors.

Original languageEnglish (US)
Title of host publicationESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning
Pages71-76
Number of pages6
StatePublished - 2008
Externally publishedYes
Event16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 - Bruges, Belgium
Duration: Apr 23 2008Apr 25 2008

Other

Other16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008
CountryBelgium
CityBruges
Period04/23/0804/25/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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