782 search results - page 79 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
104
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BMCBI
2010
15 years 3 months ago
2010
Background: High-throughput technologies have led to a new era of proteomics. Although protein microarray experiments are becoming more common place there are a variety of experim...
142
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TEC
2008
15 years 2 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
123
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BMCBI
2010
15 years 3 months ago
2010
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
157
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FLAIRS
2004
15 years 4 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
133
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BMCBI
2007
15 years 3 months ago
2007
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...