 | 2011 |
| 11 |  | Francisco Gómez-Vela,
Norberto Díaz-Díaz,
Jesús S. Aguilar-Ruiz:
Gene Networks Validation based on Metabolic Pathways.
BIBE 2011: 9-14 |
| 10 |  | Francisco Gómez-Vela,
Francisco Martínez-Álvarez,
Carlos D. Barranco,
Norberto Díaz-Díaz,
Domingo S. Rodríguez-Baena,
Jesús S. Aguilar-Ruiz:
Pattern Recognition in Biological Time Series.
CAEPIA 2011: 164-172 |
| 9 |  | Norberto Díaz-Díaz,
Francisco Gómez-Vela,
Domingo S. Rodríguez-Baena,
Jesús S. Aguilar-Ruiz:
Gene Regulatory Networks Validation Framework Based in KEGG.
HAIS (2) 2011: 279-286 |
| 8 |  | Norberto Díaz-Díaz,
Jesús S. Aguilar-Ruiz:
GO-based Functional Dissimilarity of Gene Sets.
BMC Bioinformatics 12: 360 (2011) |
| 7 |  | Jesús S. Aguilar-Ruiz,
Domingo S. Rodríguez-Baena,
Norberto Díaz-Díaz,
Isabel A. Nepomuceno-Chamorro:
CarGene: Characterisation of sets of genes based on metabolic pathways analysis.
IJDMB 5(5): 558-573 (2011) |
| 2007 |
| 6 |  | Domingo S. Rodríguez-Baena,
Norberto Díaz-Díaz,
Jesús S. Aguilar-Ruiz,
Isabel A. Nepomuceno-Chamorro:
Discovering alpha -Patterns from Gene Expression Data.
IDEAL 2007: 831-839 |
| 5 |  | Isabel A. Nepomuceno-Chamorro,
Jesús S. Aguilar-Ruiz,
Norberto Díaz-Díaz,
Domingo S. Rodríguez-Baena,
Jorge García-Gutiérrez:
A Deterministic Model to Infer Gene Networks from Microarray Data.
IDEAL 2007: 850-859 |
| 2006 |
| 4 |  | Norberto Díaz-Díaz,
Domingo S. Rodríguez-Baena,
Isabel A. Nepomuceno-Chamorro,
Jesús S. Aguilar-Ruiz:
Neighborhood-Based Clustering of Gene-Gene Interactions.
IDEAL 2006: 1111-1120 |
| 3 |  | Jesús S. Aguilar-Ruiz,
Juan A. Nepomuceno,
Norberto Díaz-Díaz,
Isabel A. Nepomuceno-Chamorro:
A Measure for Data Set Editing by Ordered Projections.
IEA/AIE 2006: 1339-1348 |
| 2005 |
| 2 |  | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Norberto Díaz-Díaz:
Analysis of Feature Rankings for Classification.
IDA 2005: 362-372 |
| 1 |  | Raúl Giráldez,
Norberto Díaz-Díaz,
Isabel A. Nepomuceno-Chamorro,
Jesús S. Aguilar-Ruiz:
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning.
IWANN 2005: 804-811 |