26 search results - page 1 / 6 » Finding Rule Groups to Classify High Dimensional Gene Expres... |
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...
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...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
SDM
2008
SIAM
13 years 5 months ago
2008
SIAM
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
BMCBI
2006
13 years 4 months ago
2006
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...