A Fast Gene Expression Analysis using Parallel Biclustering and Distributed Triclustering Approach
Author:
Affiliation:
1. Department of CSE, Tezpur University, Napaam, Assam, India
2. Department of Computer Science, University of Colorado, CO, USA
Publisher
ACM Press
Reference30 articles.
1. R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace clustering of high dimensional data. Data Mining and Knowledge Discovery, 11(1):5--33, 2005.
2. H. Ahmed, P. Mahanta, D. Bhattacharyya, and J. Kalita. Shifting-and-scaling correlation based biclustering algorithm. IEEE/ACM Transactions, Computational Biology and Bioinformatics, 11(6):1239--1252, Nov 2014.
3. H. Ahmed, P. Mahanta, D. Bhattacharyya, J. Kalita, and A. Ghosh. Intersected coexpressed subcube miner: An effective triclustering algorithm. In WICT, 2011, pages 846--851. IEEE, 2011.
4. R. Araujo, G. Trielli, G. Orair, W. Meira, R. Ferreira, and D. Guedes. Partricluster: a scalable parallel algorithm for gene expression analysis. In 18TH ISBAC-PAD'06, pages 3--10. IEEE, 2006.
5. G. F. Berriz, O. D. King, B. Bryant, C. Sander, and F. P. Roth. Characterizing gene sets with funcassociate. Bioinformatics, 19(18):2502--2504, 2003.
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