800 search results - page 2 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
BMCBI
2011
12 years 9 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
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...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
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...