746 search results - page 32 / 150 » Clustering of Gene Expression Data: Performance and Similari... |
CSB
2004
IEEE
15 years 1 months ago
2004
IEEE
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
BMCBI
2008
14 years 9 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...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
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BMCBI
2002
14 years 9 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
BIBE
2004
IEEE
15 years 1 months ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...