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» An Information Criterion for Informative Gene Selection
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ISNN
2005
Springer
13 years 10 months ago
An Information Criterion for Informative Gene Selection
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
Fei Ge, Jinwen Ma
IEICET
2007
94views more  IEICET 2007»
13 years 4 months ago
A New Meta-Criterion for Regularized Subspace Information Criterion
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...
Yasushi Hidaka, Masashi Sugiyama
BMCBI
2006
201views more  BMCBI 2006»
13 years 4 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
WOB
2007
116views Bioinformatics» more  WOB 2007»
13 years 6 months ago
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information
Abstract. We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontol...
Ivan G. Costa, Marcílio Carlos Pereira de S...
ESANN
2000
13 years 6 months ago
A new information criterion for the selection of subspace models
The problem of model selection is considerably important for acquiring higher levels of generalization capability in supervised learning. In this paper, we propose a new criterion ...
Masashi Sugiyama, Hidemitsu Ogawa