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Now showing items 11-15 of 15
Componentes principales supervisados para clasificación de datos de expresión genética
(2005)
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 ...
Regresión logística con penalidad ridge aplicada a datos de expresión genética
(2005)
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. ...
Clasificadores por redes bayesianas
(2005)
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 ...
Evaluación de métodos de imputación para datos de expresión genética
(2007)
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 ...
Algorithms for non-parametric classifiers in multi-relational data mining
(2006)
Over the last decades, due to the advances in information technologies, both the industrial and scientific communities have acquired large volumes of data in digital form. Most of these data sets are stored using relational ...