Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data

Lucía Conde, Álvaro Mateos, Javier Herrero, Joaquín Dopazo. Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data. In Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002, Martigny, Valais, Switzerland, September 4-6, 2002. pages 77-86, IEEE, 2002. [doi]

Abstract

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