187 search results - page 20 / 38 » Mining gene expression datasets using density-based clusteri... |
166
Voted
ICDE
2007
IEEE
15 years 11 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
ICDM
2006
IEEE
15 years 3 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...
87
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
66
Voted
PPSN
2004
Springer
15 years 3 months ago
2004
Springer
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
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...