782 search results - page 128 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
105
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BMCBI
2010
14 years 12 months ago
2010
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
BMCBI
2008
14 years 12 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
124
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BMCBI
2010
14 years 12 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
117
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BMCBI
2005
14 years 11 months ago
2005
Background: Systematic evaluation and study of single nucleotide polymorphisms (SNPs) made possible by high throughput genotyping technologies and bioinformatics promises to provi...
BMCBI
2006
14 years 11 months ago
2006
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...