Feature Selection and Binary Classification Using Microarray Data
Michael Lecocke
Broschiertes Buch

Feature Selection and Binary Classification Using Microarray Data

Background, Methods, and Comparison of Classifiers Using Univariate and Genetic Algorithm-Based Feature Selection and Supervised Learning Techniques

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DNA microarray technology has greatly influenced the realms of biomedical research, with the hopes of significantly impacting the diagnosis and treatment of diseases. Microarrays have the ability to measure the expression levels of thousands of genes simultaneously. This research entails a rigorous and systematic comparison of statistical classifiers composed of supervised learning methods and either univariate or genetic algorithm-based multivariate feature subset selection (FSS) techniques, all applied to six published two-class microarray datasets.These analyses should provide insights into...