Joint Analysis of SNP–SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm-Reference-Cited by-同舟云学术

Joint Analysis of SNP–SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm

Published:2017-12 Issue:12 Volume:24 Page:1212-1225
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Yang Cheng-Hong¹²,Lin Yu-Da¹,Chuang Li-Yeh³,Chen Jin-Bor⁴,Chang Hsueh-Wei⁵⁶⁷

Affiliation:

1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.

2. Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

3. Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan.

4. Division of Nephrology, Department of Internal Medicine, Mitochondrial Research Unit, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.

5. Institute of Medical Science and Technology, National Sun Yat-Sen University, Kaohsiung, Taiwan.

6. Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.

7. Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2017.0090

Reference42 articles.

1. Reanalysis and revision of the Cambridge reference sequence for human mitochondrial DNA

2. Commentary: Facing the Challenge of Gene-Environment Interaction: The Two-by-Four Table and Beyond

3. Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits

4. Information-Theoretic Metrics for Visualizing Gene-Environment Interactions

5. Odds Ratio-Based Genetic Algorithms for Generating SNP Barcodes of Genotypes to Predict Disease Susceptibility

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