34 search results - page 6 / 7 » Microarray data mining using landmark gene-guided clustering |
BMCBI
2008
13 years 7 months ago
2008
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
BMCBI
2006
13 years 7 months ago
2006
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...