800 search results - page 9 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
NIPS
2003
13 years 9 months ago
2003
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
BIBE
2004
IEEE
13 years 11 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 ...
BMCBI
2008
13 years 7 months ago
2008
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Discovering coherent gene expression patterns in time-series gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we pr...