160 search results - page 7 / 32 » Gene Expression Data Clustering Based on Local Similarity Co... |
BMCBI
2008
13 years 9 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
BMCBI
2004
13 years 9 months ago
2004
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
BIBM
2007
IEEE
14 years 3 months ago
2007
IEEE
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
BMCBI
2010
13 years 9 months ago
2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
BMCBI
2004
13 years 9 months ago
2004
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...