541 search results - page 20 / 109 » Incorporating Gene Ontology in Clustering Gene Expression Da... |
IADIS
2008
13 years 9 months ago
2008
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
ISBRA
2007
Springer
14 years 2 months ago
2007
Springer
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
BMCBI
2008
13 years 8 months ago
2008
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
BMCBI
2008
13 years 8 months ago
2008
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...