Abstract
Genetic Interaction (GI) data provides a means for exploring the structure and function of pathways in a cell. Coherent value bicliques (submatrices) in GI data represents functionally similar gene modules or protein complexes. However, no systematic approach has been proposed for exhaustively enumerating all coherent value submatrices in such data sets, which is the problem addressed in this paper. Using a monotonic range measure to capture the coherence of values in a submatrix of an input data matrix, we propose a two-step Apriori-based algorithm for discovering all nearly constant value submatrices, referred to as Range Constrained Blocks. By systematic evaluation on an extensive genetic interaction data set, we show that the coherent value submatrices represent groups of genes that are functionally related than the submatrices with diverse values. We also show that our approach can exhaustively find all the submatrices with a range less than a given threshold, while the other competing approaches can not find all such submatrices.
Original language | English (US) |
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Title of host publication | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
Publisher | Association for Computing Machinery |
Pages | 125-132 |
Number of pages | 8 |
ISBN (Electronic) | 9781605583020 |
State | Published - 2010 |
Event | 9th International Workshop on Data Mining in Bioinformatics, BIOKDD 2010, Held in Conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining - Washington, United States Duration: Jul 25 2010 → Jul 28 2010 |
Publication series
Name | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
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Other
Other | 9th International Workshop on Data Mining in Bioinformatics, BIOKDD 2010, Held in Conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining |
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Country/Territory | United States |
City | Washington |
Period | 7/25/10 → 7/28/10 |
Bibliographical note
Publisher Copyright:Copyright © 2010 ACM.