34 search results - page 2 / 7 » Microarray data mining using landmark gene-guided clustering |
BMCBI
2006
13 years 4 months ago
2006
Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
BMCBI
2008
13 years 4 months ago
2008
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
KDD
2003
ACM
14 years 5 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...