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

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...

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Bibliographic Details
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
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Institution: Universiti Malaysia Sarawak
Language: English

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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

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