531 search results - page 47 / 107 » Mining phenotypes and informative genes from gene expression... |
BMCBI
2008
13 years 7 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
BMCBI
2004
13 years 7 months ago
2004
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
ISNN
2004
Springer
14 years 29 days ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
BMCBI
2010
13 years 7 months ago
2010
Background: Genome-wide expression studies have developed exponentially in recent years as a result of extensive use of microarray technology. However, expression signals are typi...
BMCBI
2010
13 years 7 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...