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Towards Applying Associative Classifier for Genetic Variants

Published:2012 Issue: Volume: Page:673-680
ISSN:0302-9743
Container-title:Neural Information Processing
language:
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Author:

Mutalib Sofianita,Rahman Shuzlina Abdul,Mohamed Azlinah

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-34475-6_81.pdf

Reference28 articles.

1. Korf, B.R.: Human Genetics and Genomics. Blackwell Publishing (2007)

2. Jelliffe, R., Schumitzky, A., Bayard, D., Leary, R., Botnen, A., Guilder, M.V., Bustad, A., Neely, M.: Human Genetic Variation, Population Pharmacokinetic - Dynamic Models, Bayesian Feedback Control, and Maximally Precise Individualized Drug Dosage Regimens. Current Pharmacogenomics and Personalized Medicine (Formerly Current Pharmacog) 7, 249–262 (2009)

3. Aguiar, V., Seoane, J.A., Freire, A., Guo, L.: GA-Based Data Mining Applied to Genetic Data for the Diagnosis of Complex Diseases. In: Gestal Pose, M., Rivero Cebrián, D. (eds.) Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, pp. 219–239 (2010)

4. Cordell, H.J.: Detecting gene-gene interactions that underlie human diseases. Nat. Rev. Genet. 10, 392–404 (2009)

5. Moore, J.H., Asselbergs, F.W., Williams, S.M.: Bioinformatics challenges for genome-wide association studies. Bioinformatics 26, 445–455 (2010)

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1. Towards Mining Frequent Patterns in Genome Wide Association;2013 IEEE 16th International Conference on Computational Science and Engineering;2013-12

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