| 학회 |
한국화학공학회 |
| 학술대회 |
2003년 봄 (04/25 ~ 04/26, 순천대학교) |
| 권호 |
9권 1호, p.503 |
| 발표분야 |
생물화공 |
| 제목 |
Local Clustering of Gene Expression Profiles |
| 초록 |
The current analysis of whole-genome expression data focuses on relationships based on global correlation over a whole time-course, identifying clusters of genes whose expression levels simultaneously raise and fall. However global clustering is missed other potential relationships between genes. Here we use local clustering method proposed by Jiang Qian et. al. for identifying these time-delayed and inverted relationships. An integral part of local clustering is the use of random score distributions to assess the statistical significance of each cluster. The local clustering method was applied to the yeast cell-cycle expression dataset and was able to detect a considerable number of additional biological relationships between genes beyond those resulting from conventional correlation. We search new relationships between genes to their similarity in function or their having known protein-protein interactions. We could identify the function of gene and the interaction between known proteins using the local clustering method.
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| 저자 |
김태형, 정창복, 강성주
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| 소속 |
전남대 |
| 키워드 |
bioinformatics; local clustering; gene expression
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| E-Mail |
, |
| 원문파일 |
초록 보기 |
