782 search results - page 10 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
BMCBI
2006
14 years 11 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
118
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BMCBI
2011
14 years 6 months ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
BMCBI
2006
14 years 11 months ago
2006
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
106
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ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
BMCBI
2010
14 years 11 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...