52 search results - page 6 / 11 » Mining Rules for the Automatic Selection Process of Clusteri... |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
BMCBI
2007
13 years 7 months ago
2007
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
ICDE
2004
IEEE
14 years 9 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...
BMCBI
2008
13 years 7 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
BMCBI
2006
13 years 7 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...