541 search results - page 8 / 109 » Incorporating Gene Ontology in Clustering Gene Expression Da... |
BMCBI
2010
13 years 8 months ago
2010
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
IDA
2005
Springer
14 years 1 months ago
2005
Springer
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
BIBE
2005
IEEE
14 years 1 months ago
2005
IEEE
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
BMCBI
2006
13 years 8 months ago
2006
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
BIBE
2003
IEEE
14 years 1 months ago
2003
IEEE
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...