416 search results - page 40 / 84 » Improving gene set analysis of microarray data by SAM-GS |
BMCBI
2010
13 years 7 months ago
2010
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
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BMCBI
2005
13 years 7 months ago
2005
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
BMCBI
2010
13 years 7 months ago
2010
Background: With the current technological advances in high-throughput biology, the necessity to develop tools that help to analyse the massive amount of data being generated is e...
BMCBI
2005
13 years 7 months ago
2005
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
JBI
2006
13 years 7 months ago
2006
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...