1190 search results - page 38 / 238 » Analysis of Variance for Gene Expression Microarray Data |
108
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ISMB
2000
15 years 2 months ago
2000
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...
134
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BMCBI
2004
15 years 1 months ago
2004
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
140
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JBI
2004
15 years 2 months ago
2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
123
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BMCBI
2004
15 years 1 months ago
2004
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
115
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BMCBI
2007
15 years 1 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...