Localizing compact set of genes involved in cancer diseases using an evolutionary connectionist approach

Abstract

In this paper, we present a model capable of predicting cancerous and normal state associated to each biological situation using a hybrid system based on genetic algorithms and artificial neural networks. Carried out experiments have shown a very promising results in terms of predictive accuracy and generalization. Besides, the compact set provided by the model includes well known genes included in different cancer diseases.

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Cite this paper

@inproceedings{Esseghir2005LocalizingCS, title={Localizing compact set of genes involved in cancer diseases using an evolutionary connectionist approach}, author={Mohamed Amir Esseghir and Saloua Ben Yahia}, year={2005} }