Álvaro Mateos

According to our database, Álvaro Mateos authored at least 8 papers between 2002 and 2004.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

An Approach to the Modular Structure of Cancer.

Álvaro Mateos, Joaquín Dopazo

Proceedings of the 5th Annual Spanish Bioinformatics Conference, Barcelona, Catalonia, 2004

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

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

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

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

Proceedings of the NNSP 2003, 2003

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

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

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

Proceedings of the Artificial Neural Networks, 2002