557 search results - page 60 / 112 » Meta-analysis of gene expression data: a predictor-based app... |
BMCBI
2008
14 years 10 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...
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ICDE
2004
IEEE
15 years 11 months ago
2004
IEEE
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
DILS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene e...
EVOW
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
DILS
2005
Springer
15 years 3 months ago
2005
Springer
: We present a new approach to integrate annotation data from public sources for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse ...