A novel method for mining temporally dependent association rules in three-dimensional microarray datasets

Yu Cheng Liu, Chao Hui Lee, Wei Chung Chen, Jhy-Wei Shin, Hui Huang Hsu, Vincent S. Tseng

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

Microarray data analysis is a very popular topic of current studies in bioinformatics. Most of the existing methods are focused on clustering-related approaches. However, the relations of genes cannot be generated by clustering mining. Some studies explored association rule mining on microarray, but there is no concrete framework proposed on three-dimensional gene-sample-time microarray datasets yet. In this paper, we proposed a temporal dependency association rule mining method named 3D-TDAR-Mine for three-dimensional analyzing microarray datasets. The mined rules can represent the regulated-relations between genes. Through experimental evaluation, our proposed method can discover the meaningful temporal dependent association rules that are really useful for biologists.

原文English
主出版物標題ICS 2010 - International Computer Symposium
頁面759-764
頁數6
DOIs
出版狀態Published - 2010 十二月 1
事件2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan
持續時間: 2010 十二月 162010 十二月 18

出版系列

名字ICS 2010 - International Computer Symposium

Other

Other2010 International Computer Symposium, ICS 2010
國家Taiwan
城市Tainan
期間10-12-1610-12-18

    指紋

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

引用此

Liu, Y. C., Lee, C. H., Chen, W. C., Shin, J-W., Hsu, H. H., & Tseng, V. S. (2010). A novel method for mining temporally dependent association rules in three-dimensional microarray datasets. 於 ICS 2010 - International Computer Symposium (頁 759-764). [5685410] (ICS 2010 - International Computer Symposium). https://doi.org/10.1109/COMPSYM.2010.5685410