Multi-marker-LD based genetic algorithm for tag SNP selection

Despite the advances in genotyping technologies which have led to large reduction in genotyping cost, the Tag SNP Selection problem remains an important problem for computational biologists and geneticists. Selecting the smallest subset of tag SNPs that can predict the other SNPs would considerably...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mansour, Nashat (author)
مؤلفون آخرون: Mouawad, Amer E. (author)
التنسيق: article
منشور في: 2014
الوصول للمادة أونلاين:http://hdl.handle.net/10725/2944
http://dx.doi.org/10.1007/s12539-012-0060-x
http://link.springer.com/article/10.1007/s12539-012-0060-x
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author Mansour, Nashat
author2 Mouawad, Amer E.
author2_role author
author_facet Mansour, Nashat
Mouawad, Amer E.
author_role author
dc.creator.none.fl_str_mv Mansour, Nashat
Mouawad, Amer E.
dc.date.none.fl_str_mv 2014
2016-01-25T07:38:10Z
2016-01-25T07:38:10Z
2016-01-25
dc.identifier.none.fl_str_mv 1913-2751
http://hdl.handle.net/10725/2944
http://dx.doi.org/10.1007/s12539-012-0060-x
Mouawad, A. E., & Mansour, N. (2014). Multi-marker-LD based genetic algorithm for tag SNP selection. Interdisciplinary Sciences: Computational Life Sciences, 6(4), 303-311.
http://link.springer.com/article/10.1007/s12539-012-0060-x
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv Interdisciplinary Sciences
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Multi-marker-LD based genetic algorithm for tag SNP selection
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Despite the advances in genotyping technologies which have led to large reduction in genotyping cost, the Tag SNP Selection problem remains an important problem for computational biologists and geneticists. Selecting the smallest subset of tag SNPs that can predict the other SNPs would considerably minimize the complexity of genome-wide or block-based SNP-disease association studies. These studies would lead to better diagnosis and treatment of diseases. In this work, we propose three variations of a genetic algorithm based on two-marker linkage disequilibrium, multi-marker linkage disequilibrium, and a third measure that we denote by prediction power. The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. The results indicate that the multi-marker linkage disequilibrium based genetic algorithm yields better prediction accuracy.
eu_rights_str_mv openAccess
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identifier_str_mv 1913-2751
Mouawad, A. E., & Mansour, N. (2014). Multi-marker-LD based genetic algorithm for tag SNP selection. Interdisciplinary Sciences: Computational Life Sciences, 6(4), 303-311.
language_invalid_str_mv en
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network_name_str Lebanese American University repository
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spelling Multi-marker-LD based genetic algorithm for tag SNP selectionMansour, NashatMouawad, Amer E.Despite the advances in genotyping technologies which have led to large reduction in genotyping cost, the Tag SNP Selection problem remains an important problem for computational biologists and geneticists. Selecting the smallest subset of tag SNPs that can predict the other SNPs would considerably minimize the complexity of genome-wide or block-based SNP-disease association studies. These studies would lead to better diagnosis and treatment of diseases. In this work, we propose three variations of a genetic algorithm based on two-marker linkage disequilibrium, multi-marker linkage disequilibrium, and a third measure that we denote by prediction power. The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. The results indicate that the multi-marker linkage disequilibrium based genetic algorithm yields better prediction accuracy.PublishedN/A2016-01-25T07:38:10Z2016-01-25T07:38:10Z20142016-01-25Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1913-2751http://hdl.handle.net/10725/2944http://dx.doi.org/10.1007/s12539-012-0060-xMouawad, A. E., & Mansour, N. (2014). Multi-marker-LD based genetic algorithm for tag SNP selection. Interdisciplinary Sciences: Computational Life Sciences, 6(4), 303-311.http://link.springer.com/article/10.1007/s12539-012-0060-xenInterdisciplinary Sciencesinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/29442017-04-10T10:57:55Z
spellingShingle Multi-marker-LD based genetic algorithm for tag SNP selection
Mansour, Nashat
status_str publishedVersion
title Multi-marker-LD based genetic algorithm for tag SNP selection
title_full Multi-marker-LD based genetic algorithm for tag SNP selection
title_fullStr Multi-marker-LD based genetic algorithm for tag SNP selection
title_full_unstemmed Multi-marker-LD based genetic algorithm for tag SNP selection
title_short Multi-marker-LD based genetic algorithm for tag SNP selection
title_sort Multi-marker-LD based genetic algorithm for tag SNP selection
url http://hdl.handle.net/10725/2944
http://dx.doi.org/10.1007/s12539-012-0060-x
http://link.springer.com/article/10.1007/s12539-012-0060-x