Journal article
Wavelet transformation and cluster ensemble for gene expression analysis
International journal of bioinformatics research and applications, v 1(4), pp 447-460
2005
PMID: 18048148
Abstract
This paper introduces a wavelet transformation and a cluster ensemble framework using graph theory for clustering gene expression data sets. The experiment results indicate that wavelet transformation and cluster ensemble approaches together yield better clustering results than the single best clustering algorithm on both synthetic and yeast gene expression data sets.
Metrics
9 Record Views
10 citations in Scopus
Details
- Title
- Wavelet transformation and cluster ensemble for gene expression analysis
- Creators
- Xiaohua HuIllhoi YooXiaodan ZhangPayal Nanavati
- Publication Details
- International journal of bioinformatics research and applications, v 1(4), pp 447-460
- Publisher
- Switzerland
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-52649170796
- Other Identifier
- 991014878286504721