Table of Contents
Computational Biology Journal
Volume 2015 (2015), Article ID 839692, 10 pages
http://dx.doi.org/10.1155/2015/839692
Research Article

Mining Association Rules in Dengue Gene Sequence with Latent Periodicity

1Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu 627012, India
2Department of Information Technology, AMET University, Chennai, Tamil Nadu 603112, India

Received 19 August 2014; Revised 30 November 2014; Accepted 2 January 2015

Academic Editor: Clifford Shaffer

Copyright © 2015 Marimuthu Thangam and Balamurugan Vanniappan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. J. H. McBride and H. Bielefeldt-Ohmann, “Dengue viral infections; pathogenesis and epidemiology,” Microbes and Infection, vol. 2, no. 9, pp. 1041–1050, 2000. View at Publisher · View at Google Scholar · View at Scopus
  2. W.-k. Sung, “Algorithms in bio informatics,” International Journal of Molecular Biology, vol. 2, no. 1, pp. 23–29, 2011. View at Google Scholar
  3. Health Map Details, http://www.healthmap.org/dengue/en/.
  4. http://articles.timesofindia.indiatimes.com/.
  5. R. Gupta, A. Mittal, V. Narang, and W.-K. Sung, “Detection of palindromes in DNA sequences using periodicity transform,” in Proceedings of the IEEE International Workshop on Biomedical Circuits and Systems, vol. No, pp. 20–23, December 2004. View at Publisher · View at Google Scholar
  6. F. Rasheed, M. Alshalalfa, and R. Alhajj, “Adapting machine learning technique for periodicity detection in nucleosomal locations in sequences,” in Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL '07), vol. No, pp. 870–879, Dubai, UAE, December 2007.
  7. S. Nimmannitya, “Dengue and dengue hemorrhagic fever diseases,” in Proceedings of the 1st International Conference on Bioinformatics, vol. 2, pp. 765–772, Singapore, 2003.
  8. S. Fahri, B. Yohan, and Hidayat, “Molecular surveillance of dengue virus serotype-1,” International Journal on Molecular Biology, vol. 2, no. 1, pp. 345–349, 2013. View at Google Scholar
  9. M. Ahdesmaki, H. Lahdesmaki, and O. Yli-Harja, “Robust Fisher's test for periodicity detection in noisy biological time series,” in Proceedings of the IEEE International Workshop on Genomic Signal Processing and Statistics, pp. 1–4, Tuusula, Finland, June 2007. View at Publisher · View at Google Scholar
  10. http://www.ncbi.nlm.nih.gov/guide/dna-rna/.
  11. http://www.nature.com/news/2002/020415/full/news020415-10.html.
  12. P. Indyk, N. Koudas, and S. Muthukrishan, “Identifying representative trends in massive time series data sets using sketches,” The International Journal on Very Large Data Bases, vol. 5, no. 2, pp. 123–128, 2000. View at Google Scholar
  13. M. G. Elfeky, W. G. Aref, and A. K. Elmagarmid, “Periodicity detection in time series databases,” IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 7, pp. 875–887, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. F. Rasheed, M. Alshalalfa, and R. Alhajj, “Efficient periodicity mining in time series databases using suffix trees,” IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 1, pp. 79–94, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. S. Ma and J. L. Hellerstein, “Mining partially periodic event patterns in time series database,” IEEE Transactions on Knowledge and Data Engineering, vol. 2, no. 3, pp. 205–214, 2011. View at Google Scholar
  16. K.-Y. Huang and C.-H. Chang, “SMCA: a general model for mining asynchronous periodic patterns in temporal databases,” IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 6, pp. 774–785, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. V. Pujeri and G. M. Karthik, “Constraint based periodicity mining in time series databases,” International Journal on Computer Network and Information Security, vol. 4, no. 10, pp. 37–46, 2012. View at Google Scholar
  18. J. Kececioglu and D. DeBlasio, “Parameter advising for dengue virus serotypes,” in Proceedings of 2nd International Conference on Genomic Sequences, vol. 2, pp. 221–228, 2013.
  19. J. Prada-Arismendy and J. E. Castellanos, “Real time PCR application in dengue studies,” International Journal on Proteomics Analysis, vol. 42, no. 2, pp. 89–96, 2010. View at Google Scholar
  20. D. Mairiang, H. Zhang, and A. Sodja, “Identification of new protein interactions between dengue fever virus and its hosts,” International Journal of Biometrics and Bioinformatics Algorithms, vol. 25, no. 2, pp. 156–160, 2013. View at Google Scholar
  21. C. Bletchly, “Antigenic and structural analysis of the NS1 glyco protein of dengue virus,” International Journal of Molecular Biology, vol. 5, no. 2, pp. 88–94, 2002. View at Google Scholar
  22. J. Han and M. Kamber, Data Mining Concepts and Techniques, Elsevier, 2nd edition, 2007.