373 search results - page 5 / 75 » Algorithmic and Complexity Issues of Three Clustering Method... |
BMCBI
2010
13 years 4 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
DASFAA
2005
IEEE
14 years 9 days ago
2005
IEEE
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
BMCBI
2007
13 years 6 months ago
2007
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
BMCBI
2007
13 years 6 months ago
2007
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
JBI
2006
13 years 6 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 ...