Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes. - Álvaro Mateos; Javier Herrero; Joaquín Dopazo (ICANN, 2002)

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 (NNSP, 2002)

Using gene ontology on genome-scale studies to find significant associations of biologically relevant terms to groups of genes. - Fátima Al-Shahrour; Javier Herrero; Álvaro Mateos; Javier Santoyo; Ramón Díaz-Uriarte; Joaquín Dopazo (NNSP, 2003)

Using a Genetic Algorithm and a Perceptron for Feature Selection and Supervised Class Learning in DNA Microarray Data. - Michal Karzynski; Álvaro Mateos; Javier Herrero; Joaquín Dopazo (Artif. Intell. Rev., 2003)

GEPAS: a web-based resource for microarray gene expression data analysis. - Javier Herrero; Fátima Al-Shahrour; Ramón Díaz-Uriarte; Álvaro Mateos; Juan M. Vaquerizas; Javier Santoyo; Joaquín Dopazo (Nucleic Acids Res., 2003)

Improved Class Prediction in DNA Microarray Gene Expression Data by Unsupervised Reduction of the Dimensionality followed by Supervised Learning with a Perceptron. - Lucía Conde; Álvaro Mateos; Javier Herrero; Joaquín Dopazo (J. VLSI Signal Process., 2003)

An Approach to the Modular Structure of Cancer. - Álvaro Mateos; Joaquín Dopazo (Spanish Bioinformatics Conference, 2004)

New challenges in gene expression data analysis and the extended GEPAS. - Javier Herrero; Juan M. Vaquerizas; Fátima Al-Shahrour; Lucía Conde; Álvaro Mateos; Javier Santoyo; Ramón Díaz-Uriarte; Joaquín Dopazo (Nucleic Acids Res., 2004)