24 search results - page 3 / 5 » Clustering Time-Series Gene Expression Data with Unequal Tim... |
BMCBI
2007
14 years 9 months ago
2007
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
EVOW
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
166
Voted
ICDE
2009
IEEE
15 years 11 months ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
68
Voted
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...