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Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 1, Issue 2, Pages 118-124, DOI: https://doi.org/10.2991/mcei-16.2016.237
License : (CC BY 4.0)
Published Online: 08-April-2018
Based on information of 1000 samples provided by single nucleotide polymorphisms, analyzing the existing SNP data, using the optimized linear mixed model for data screening of correlation analysis, the coding mode of each given locus bases (A, T, C, G) are encoded into numerical encoding, with correlation analysis of collection of evolutionary algorithms, the corresponding figure in Manhattan and risk point and the position of the gene are obtained for further operations of the transferred numerical language, and finally got the image of the corresponding computing program operation and results. By carrying out statistical analysis and inspection for results, the score genotype data are more reasonable and accurate to explain theoretically the rationality of the discovered disease locus and gene.
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