1190 search results - page 137 / 238 » Analysis of Variance for Gene Expression Microarray Data |
157
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BMCBI
2006
15 years 6 months ago
2006
Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
165
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AI
2010
Springer
15 years 1 months ago
2010
Springer
Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process data generated by high-throughput genomic and proteomic experiments such as gene expression mic...
195
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BMCBI
2004
15 years 6 months ago
2004
Background: Information obtained by DNA microarray technology gives a rough snapshot of the transcriptome state, i.e., the expression level of all the genes expressed in a cell po...
173
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BMCBI
2008
15 years 6 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
164
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BMCBI
2005
15 years 6 months ago
2005
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...