The technology of microarrays introduced in the middle of the nineties allow the analysis of the gene expression levels of thousands of genes simultaneously. The identification of genes with an expression level very different ...

The automatic extraction of knowledge from very large document collections is becoming an important issue in order to exploit the increasing available information stored in text form. A significant aspect of this extraction ...

The gene expression data obtained through the technology of microarrays are characterized by its considerably greater amount of features in comparison to the number of observations. The direct use of traditional statistics ...

Logistic regression analysis is used in classification to find out which group an individual belong from a predictor variables set. In classification sometimes we work with data sets with more variables than observations. ...

A Bayesian network is a compact representation of joint probability function. Formally, a Bayesian network is an acyclic directed graph in which each node represents a random variable and the relationships of dependence ...