상세정보
학술대회
Semi-Automated Clustering of Gene Expression Data Sets
- 발행일
- 200708
- 출처
- International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2007, pp.4625-4628
- 협약과제
- 07MB2700, 유비쿼터스 건강관리용 모듈 시스템, 박선희
- 초록
- Clustering, as one of key analysis tools for gene expression data sets, attempts to discover groups of genes having similar expression patterns. In order to get a reasonable biological interpretation, it is desirable that a clustering result be accurate enough. However, conventional clustering methods do not always meet this demand since they require the exact tuning of input parameters and cluster centers for an acceptable quality of result Through an intuitive user interaction, UI-Cluster solves the problem mentioned above, and yields better clustering results. © 2007 IEEE.
- KSP 제안 키워드
- Automated clustering, Biological interpretation, Cluster center, Clustering method, Data sets, Expression patterns, Input parameters, Semi-Automated, User interaction, analysis tool, gene expression data