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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Developing Gene Classifier System for Autism Recognition
verfasst von : Tomasz Latkowski, Stanislaw Osowski
Erschienen in: Advances in Computational Intelligence
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The paper presents comparison of few chosen approaches to recognition of autism on the basis of gene expression microarray. The important point in this task is selection of genes of the highest class discriminative ability. To solve the problem we have applied many selection methods, which are based on different principles. The limited set of genes in each method are selected for further analysis. In this paper we will compare the genetic algorithm and random forest in the role of final gene selection. The most important genes selected by each method are used as the input attributes to the support vector machine and random forest classifiers, cooperating in an ensemble. The final result of classification is generated by the random forest, performing the role of fusion system for an ensemble.