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

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 proceeding › Conference contribution › peer-review

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 language	English (US)
Title of host publication	ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning
Pages	71-76
Number of pages	6
State	Published - 2008
Externally published	Yes
Event	16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 - Bruges, Belgium Duration: Apr 23 2008 → Apr 25 2008

Other

Other	16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008
Country/Territory	Belgium
City	Bruges
Period	04/23/08 → 04/25/08

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Natowicz, R., Braga, A. P., Incitti, R., Horta, E. G., Rouzier, R., Rodrigues, T. S., & Costa, M. A. (2008). A new method of DNA probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy. In ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (pp. 71-76)

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

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.",

author = "R. Natowicz and Braga, {A. P.} and R. Incitti and Horta, {E. G.} and R. Rouzier and Rodrigues, {T. S.} and Costa, {M. A.}",

year = "2008",

language = "English (US)",

isbn = "2930307080",

pages = "71--76",

booktitle = "ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning",

note = "16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 ; Conference date: 23-04-2008 Through 25-04-2008",

}

Natowicz, R, Braga, AP, Incitti, R, Horta, EG, Rouzier, R, Rodrigues, TS & Costa, MA 2008, A new method of DNA probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy. in ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. pp. 71-76, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008, Bruges, Belgium, 04/23/08.

A new method of DNA probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy. / Natowicz, R.; Braga, A. P.; Incitti, R. et al.
ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. 2008. p. 71-76.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new method of DNA probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy

AU - Natowicz, R.

AU - Braga, A. P.

AU - Incitti, R.

AU - Horta, E. G.

AU - Rouzier, R.

AU - Rodrigues, T. S.

AU - Costa, M. A.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:78650850167

SN - 2930307080

SN - 9782930307084

SP - 71

EP - 76

BT - ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

T2 - 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008

Y2 - 23 April 2008 through 25 April 2008

ER -

Natowicz R, Braga AP, Incitti R, Horta EG, Rouzier R, Rodrigues TS et al. A new method of DNA probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy. In ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. 2008. p. 71-76

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

Abstract

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ASJC Scopus subject areas

UN SDGs

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