8 search results - page 1 / 2 » Mining Top-k Covering Rule Groups for Gene Expression Data |
SIGMOD
2005
ACM
14 years 4 months ago
2005
ACM
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
VLDB
2004
ACM
13 years 10 months ago
2004
ACM
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
BMCBI
2007
13 years 4 months ago
2007
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
CIBB
2008
13 years 6 months ago
2008
During the last decade, several clustering and association rule mining techniques have been applied to highlight groups of coregulated genes in gene expression data. Nowadays, inte...