164 search results - page 2 / 33 » Selection of informative clusters from hierarchical cluster ... |
BMCBI
2008
13 years 5 months ago
2008
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
BMCBI
2008
13 years 5 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
BMCBI
2008
13 years 5 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...
CSB
2004
IEEE
13 years 9 months ago
2004
IEEE
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...