Mining top-K covering rule groups for gene expression data

作者: Gao Cong , Kian-Lee Tan , Anthony K. H. Tung , Xin Xu

DOI: 10.1145/1066157.1066234

关键词:

摘要: In this paper, we propose a novel algorithm to discover the top-k covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets …

参考文章(31)
John L. Pfaltz, Christopher M. Taylor, Closed set mining of biological data international conference on data mining. pp. 43- 48 ,(2002)
Ramakrishnan Srikant, Rakesh Agrawal, Fast algorithms for mining association rules very large data bases. pp. 580- 592 ,(1998)
Søren Brunak, Pierre Baldi, Bioinformatics: The Machine Learning Approach ,(1998)
Ramakrishnan Srikant, Rakesh Agrawal, Fast Algorithms for Mining Association Rules in Large Databases very large data bases. pp. 487- 499 ,(1994)
Daxin Jiang, Jian Peii, Aidong Zhang, A general approach to mining quality pattern-based clusters from microarray data database systems for advanced applications. pp. 188- 200 ,(2005) , 10.1007/11408079_18
Thorsten Joachims, Making large scale SVM learning practical Technical reports. ,(1999) , 10.17877/DE290R-14262
Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal, Discovering Frequent Closed Itemsets for Association Rules international conference on database theory. ,vol. 1540, pp. 398- 416 ,(1999) , 10.1007/3-540-49257-7_25
Thomas R. Anderson, Theodore A. Slotkin, Maturation of the adrenal medulla—IV Biochemical Pharmacology. ,vol. 24, pp. 1469- 1474 ,(1975) , 10.1016/0006-2952(75)90020-9
R. Rastogi, K. Shim, Mining optimized association rules with categorical and numeric attributes international conference on data engineering. pp. 503- 512 ,(1998) , 10.1109/ICDE.1998.655813
Robert H. Getzenberg, Jennifer Guerrero-Santoro, Donald B. DeFranco, Eddy S. Leman, Masaaki Kasai, Robert Friedman, The Group 3 LIM domain protein paxillin potentiates androgen receptor transactivation in prostate cancer cell lines. Cancer Research. ,vol. 63, pp. 4927- 4935 ,(2003)