65 search results - page 6 / 13 » Symbolic Discriminant Analysis for Mining Gene Expression Pa... |
CBMS
2005
IEEE
14 years 1 months ago
2005
IEEE
The Gene Ontology (GO) is an important knowledge resource for biologists and bioinformaticians. This paper explores the integration of similarity information derived from GO into ...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
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...
BICOB
2009
Springer
13 years 5 months ago
2009
Springer
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
BMCBI
2006
13 years 7 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
NAR
2007
13 years 7 months ago
2007
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging...