782 search results - page 17 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
115
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NIPS
2003
15 years 1 months ago
2003
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
120
Voted
WILF
2005
Springer
15 years 5 months ago
2005
Springer
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
106
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BMCBI
2004
14 years 11 months ago
2004
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
187
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ICDE
2004
IEEE
16 years 1 months ago
2004
IEEE
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
87
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CSB
2002
IEEE
15 years 4 months ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...