43 search results - page 3 / 9 » Ranking analysis of F-statistics for microarray data |
BMCBI
2008
13 years 7 months ago
2008
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
BMCBI
2007
13 years 7 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...
AUSDM
2006
Springer
13 years 10 months ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
JBI
2008
13 years 6 months ago
2008
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
BMCBI
2005
13 years 6 months ago
2005
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...