Discovering High-Order Patterns of Gene Expression Levels
Author:
Affiliation:
1. Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada.
2. Microsoft Corporation, Redmond, Washington.
3. Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation
Link
http://www.liebertpub.com/doi/pdf/10.1089/cmb.2007.0147
Reference37 articles.
1. Mining association rules between sets of items in large databases
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3. Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
4. A fuzzy approach to partitioning continuous attributes for classification
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