Discovering Motiv Based Association Rules in a Set of DNA Sequences
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The research of similarity between DNA sequences is an important problem in Bio-Informatics. In the traditional approach, the dynamic programming based pair-wise alignment is used for measuring the similarity between two sequences. This method does not work well in a large data set. In this paper, we consider motifs like the phrase of document and use text mining techniques for finding the frequent motifs, maximal frequent motifs, motif based association rules in a group of genes.
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- Discovering Motiv Based Association Rules in a Set of DNA Sequences
- Book Title
- Rough Sets and Current Trends in Computing
- Book Subtitle
- Second International Conference, RSCTC 2000 Banff, Canada, October 16–19, 2000 Revised Papers
- pp 386-390
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
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- Editor Affiliations
- 1. Department of Computer Science, University of Regina Regina
- Author Affiliations
- 4. Faculty of Information Technology, University of Natural Sciences, HCMC, 227 Nguyen Van Cu St District 5, HCM city, Vietnam
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