Evolutionary algorithms for the selection of single nucleotide polymorphisms |
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Authors: | Robert?M?Hubley Eckart?Zitzler Email author" target="_blank">Jared?C?RoachEmail author |
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Institution: | (1) Institute for Systems Biology, Seattle, WA, USA;(2) Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, Zurich, Switzerland |
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Abstract: | Background Large databases of single nucleotide polymorphisms (SNPs) are available for use in genomics studies. Typically, investigators
must choose a subset of SNPs from these databases to employ in their studies. The choice of subset is influenced by many factors,
including estimated or known reliability of the SNP, biochemical factors, intellectual property, cost, and effectiveness of
the subset for mapping genes or identifying disease loci. We present an evolutionary algorithm for multiobjective SNP selection. |
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Keywords: | |
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