34 search results - page 4 / 7 » Microarray data mining using landmark gene-guided clustering |
ICDM
2008
IEEE
14 years 6 days ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
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...
CIDM
2007
IEEE
14 years 3 days ago
2007
IEEE
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
MSV
2004
13 years 7 months ago
2004
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
VLDB
2004
ACM
13 years 11 months ago
2004
ACM
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...