RODRÍGUEZ BAENA , Domingo S.

This article proposes, and justifies, the use of the Document-oriented databases as a flexible, easy to use, and powerful digital tool in the field of historical research. First, the reasons that have made relational databases the predominant instrument among historians are studied, while detailing the problems involved in their use. Next, the...

El análisis de datos de expresión genética es una de las tareas fundamentales dentro de la Bioinformática. Para llevar a cabo este estudio se hace necesaria la aplicación de técnicas de Minería de Datos. Las técnicas de Clustering han probado ser de gran utilidad a la hora de descubrir grupos de genes que intervienen en una misma función...

E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company's communication, in which every employee spends about 90 minutes a day in e–mail tasks such as filing and deleting. This paper deals with the generation of clusters of relevant words from E–mail texts. Our approach consists of the application...

The biclustering techniques have the purpose of finding subsets of genes that show similar activity patterns under a subset of conditions. In this paper we characterize a specific type of pattern, that we have called α–pattern, and present an approach that consists in a new biclustering algorithm specifically designed to find α–patterns, in...

The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them are Gene Ontology-based tools. We developed a Kyoto Encyclopedia of Genes and Genomes (Kegg)-based tool that provides a friendly...

n this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze genes in order to group those with similar behavior. Instead, our approach groups pairs of genes that present similar positive and/or negative interactions. Our approach presents some interesting properties. For instance,...

Microarray experiments help researches to construct the str ucture of gene regulatory networks, i.e., networks representing relation ships among different genes. Filter and knowledge extraction processes are necessary in order to handle the huge amount of data produced by microarray technologies. We propose regression trees techniques as a...