Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes
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Title
Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes
Authors
Keywords
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Journal
IEEE-ACM Transactions on Computational Biology and Bioinformatics
Volume 10, Issue 2, Pages 361-371
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2013-03-28
DOI
10.1109/tcbb.2013.27
References
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- (2009) N. Fortunati et al. MOLECULAR AND CELLULAR ENDOCRINOLOGY
- A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1)
- (2009) Gilles Thomas et al. NATURE GENETICS
- Combinational Polymorphisms of Seven CXCL12-Related Genes Are Protective against Breast Cancer in Taiwan
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- (2008) F AURICCHIO et al. STEROIDS
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- (2007) Shyh-Huei Chen et al. GENETIC EPIDEMIOLOGY
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