1190 search results - page 86 / 238 » Analysis of Variance for Gene Expression Microarray Data |
167
Voted
BMCBI
2010
15 years 5 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 ...
144
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GECCO
2003
Springer
15 years 10 months ago
2003
Springer
DNA microarray experiments generate thousands of gene expression measurement simultaneously. Analyzing the difference of gene expression in cell and tissue samples is useful in dia...
155
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BMCBI
2007
15 years 5 months ago
2007
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
157
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BMCBI
2010
15 years 2 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
146
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BMCBI
2005
15 years 5 months ago
2005
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...