Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy - researchr publication related

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Antônio de Pádua Braga, Euler G. Horta, René Natowicz, Roman Rouzier, Roberto Incitti, Thiago S. Rodrigues, Marcelo Azevedo Costa, Carmen D. M. Pataro, Arben Çela. Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. In Lionel Prevost, Simone Marinai, Friedhelm Schwenker, editors, Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings. Volume 5064 of Lecture Notes in Computer Science, pages 263-266, Springer, 2008. [doi]

The following publications are possibly variants of this publication:

Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast CancerRené Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela, Antônio de Pádua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa. kes 2008: 157-164 [doi]

A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapyRené Natowicz, Antônio de Pádua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa. esann 2008: 71-76 [doi]

Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responsesRené Natowicz, Roberto Incitti, Euler Guimarães Horta, Benoît Charles, Philippe Guinot, Kai Yan, Charles Coutant, Fabrice Andre, Lajos Pusztai, Roman Rouzier. bmcbi, 9, 2008. [doi]

Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancerFrederico Coelho, Antônio de Pádua Braga, René Natowicz, Roman Rouzier. soco, 15(6):1137-1144, 2011. [doi]

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