161 search results - page 11 / 33 » Learning Rough Set Classifiers from Gene Expressions and Cli... |
156
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
BMCBI
2008
14 years 9 months ago
2008
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
100
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ICANN
2009
Springer
14 years 7 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
CLEIEJ
2007
14 years 9 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...