Classifiers for Gene Micro Array Data Analysis
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Date
2010
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Abstract
Researchers aim to develop an automated system for robust and reliable cancer diagnosis based on gene micro array data.
There are methods for evaluating and improving techniques for selecting infonnative genes from micro array data. The
genes of interest are selected by ranking them using classical statistical techniques. Various statistical classifiers are applied to get
the best classification model. By applying this procedure there is always a need fur two systems; a gene selection method and a
classifier, and selection of an optimal gene selection algorithm-classifier pair are difficult. To solve this difficulty, from the study
it is found that genetic programming act as a classifier as well as gene selection algorithm. [12].