Filtering of Background DNA Sequences Improves DNA Motif Prediction Using Clustering Techniques

• Main Authors: Lee, Nung Kion, Chieng, Allen Hoon Choong
• Format: E-Article
• Language: English
• Published: Elsevier 2013
• Subjects: Q Science (General); QA Mathematics
• Online Access: http://ir.unimas.my/id/eprint/11945/1/Filtering%20of%20background%20DNA_abstract.pdf; http://ir.unimas.my/id/eprint/11945/; http://ac.els-cdn.com/S1877042813037245/1-s2.0-S1877042813037245-main.pdf?_tid=9ff50ec4-135b-11e6-b07e-00000aab0f26&acdnat=1462519672_d9a1dd367fa2434926676d8ad2649fd1

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...