| 2004 |
|---|
| 7 | | Javier Herrero,
Juan M. Vaquerizas,
Fátima Al-Shahrour,
Lucía Conde,
Álvaro Mateos,
Javier Santoyo,
Ramón Díaz-Uriarte,
Joaquín Dopazo:
New Challenges in Gene Expression Data Analysis and the Extended GEPAS.
Spanish Bioinformatics Conference 2004: 1-5 |
| 6 | | Álvaro Mateos,
Joaquín Dopazo:
An Approach to the Modular Structure of Cancer.
Spanish Bioinformatics Conference 2004: 161-165 |
| 5 | | Javier Herrero,
Juan M. Vaquerizas,
Fátima Al-Shahrour,
Lucía Conde,
Álvaro Mateos,
Javier Santoyo,
Ramón Díaz-Uriarte,
Joaquín Dopazo:
New challenges in gene expression data analysis and the extended GEPAS.
Nucleic Acids Research 32(Web-Server-Issue): 485-491 (2004) |
| 2003 |
|---|
| 4 | EE | Michal Karzynski,
Álvaro Mateos,
Javier Herrero,
Joaquín Dopazo:
Using a Genetic Algorithm and a Perceptron for Feature Selection and Supervised Class Learning in DNA Microarray Data.
Artif. Intell. Rev. 20(1-2): 39-51 (2003) |
| 3 | | Javier Herrero,
Fátima Al-Shahrour,
Ramón Díaz-Uriarte,
Álvaro Mateos,
Juan M. Vaquerizas,
Javier Santoyo,
Joaquín Dopazo:
GEPAS: a web-based resource for microarray gene expression data analysis.
Nucleic Acids Research 31(13): 3461-3467 (2003) |
| 2 | EE | Lucía Conde,
Álvaro Mateos,
Javier Herrero,
Joaquín Dopazo:
Improved Class Prediction in DNA Microarray Gene Expression Data by Unsupervised Reduction of the Dimensionality followed by Supervised Learning with a Perceptron.
VLSI Signal Processing 35(3): 245-253 (2003) |
| 2002 |
|---|
| 1 | EE | Álvaro Mateos,
Javier Herrero,
Joaquín Dopazo:
Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes.
ICANN 2002: 577-582 |
