Faculty Publications

Title

Applications of ANN and RULES-3 to DNA sequence analysis

Document Type

Conference

Journal/Book/Conference Title

2009 International Conference on Application of Information and Communication Technologies, AICT 2009

Abstract

Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from very large real world database. These databases contain potential gold mine of valuable information, but it is beyond human ability to analyze massive amount of data and elicit meaningful patterns by using conventional techniques. In this study, DNA sequence was analyzed to locate promoter which is a regulatory region of DNA located upstream of a gene, providing a control point for regulated gene transcription. In this study, artificial neural network (ANN) and RULES-3 rule induction algorithm were used to analys to DNA squence. In the experiments different option of RULES-3 and ANN were used, and according to the amprical comparisons, the algorithms appeared to be comparable to well-known algorithms in terms of the accuracy of the extructed rule in classifying unseen data. ©2009 IEEE.

Original Publication Date

12-1-2009

DOI of published version

10.1109/ICAICT.2009.5372560

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