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Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems
[chapter]
2011
Lecture Notes in Computer Science
Microarray data analysis is attracting increasing attention in computer science because of the many applications of machine learning methods in prediction problems. The process typically involves a feature selection step, important in order to increase the accuracy and speed of the classifiers. This work analyzes the characteristics of the features selected by two wrapper methods, the first one based on artificial neural networks (ANN) and the second in a novel constructive neural network (CNN)
doi:10.1007/978-3-642-21498-1_26
fatcat:wo6jjl3nfbdfpf2nmlthqqudcq