300 search results - page 41 / 60 » Combining gene expression data from different generations of... |
BMCBI
2008
13 years 8 months ago
2008
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
BMCBI
2007
13 years 8 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
2008
13 years 8 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 ...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
BMCBI
2004
13 years 8 months ago
2004
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...