Microarray data analysis for cancer classification

Abstract

Cancer diagnosis is one of the most important emerging clinical applications of gene expression microarray data. In this work, we aim to develop an automated system for robust and reliable cancer diagnoses based on gene microarray data. Support vector machine classifiers outperform other popular classifiers, such as K nearest neighbours, naive Bayes, neural… (More)

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Cite this paper

@article{Osareh2010MicroarrayDA, title={Microarray data analysis for cancer classification}, author={Alireza Osareh and Bita Shadgar}, journal={2010 5th International Symposium on Health Informatics and Bioinformatics}, year={2010}, pages={125-132} }