33 search results - page 2 / 7 » Grouping Gene Ontology terms to improve the assessment of ge... |
WABI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
JIPS
2007
13 years 4 months ago
2007
: Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of ...
BMCBI
2005
13 years 5 months ago
2005
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
BMCBI
2006
13 years 5 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
WOB
2007
13 years 6 months ago
2007
Abstract. We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontol...