99 search results - page 5 / 20 » Similarity and cluster analysis algorithms for Microarrays u... |
BMCBI
2008
13 years 7 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
BMCBI
2007
13 years 7 months ago
2007
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
BMCBI
2006
13 years 7 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
ICDE
2004
IEEE
14 years 9 months ago
2004
IEEE
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
BIOCOMP
2006
13 years 9 months ago
2006
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...