36 search results - page 2 / 8 » Considerations when using the significance analysis of micro... |
BMCBI
2007
13 years 5 months ago
2007
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
BMCBI
2008
13 years 5 months ago
2008
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
BMCBI
2006
13 years 5 months ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
BMCBI
2006
13 years 5 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
BMCBI
2011
13 years 6 days ago
2011
Background: In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to an...