Filtering of Background DNA Sequences Improves DNA Motif Prediction Using Clustering Techniques
Noisy objects have been known to affect negatively on the performance of clustering algorithms. This paper addresses the problem of high false positive rates in using self-organizing map (SOM) for DNA motif prediction due to the noisy background sequences in the input dataset. We propose the use of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/11945/ http://ir.unimas.my/11945/ http://ir.unimas.my/11945/ http://ir.unimas.my/11945/1/Filtering%20of%20background%20DNA_abstract.pdf |