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Estimation of SNP-disease Association Model for Association Study

Author: SunYu
Tutor: ZhangJunYing
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: sNP Sample classification method MLP Bootstrap
CLC: R394
Type: Master's thesis
Year: 2010
Downloads: 64
Quote: 0
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Abstract


Single nucleotide polymorphism (SNP) refers to a single nucleotide mutation in the genome is the most common type of DNA polymorphism of a . Because there are large number of SNP loci and different SNP between the relationship the pathogenic model with disease , so that people have the opportunity to discover various diseases genomic mutations is now generally agreed that SNP research towards the application of the Human Genome Project an important step , and so is of great significance for the SNP . This paper studies the association analysis of SNP associated with disease relationship modeling . We propose a soft division between different pathogenic model interrelated , cross - impact , hard divided sample classification method , the application of these methods to de- cross (decrossing) work , at the same time using the MLP ( Multilayer Perceptron ) The neural network model . Experiment by using real SNP data , solving real - pathogenic probability of each pathogenic model and experimental results are compared with the real model analysis method to verify the correctness . Sample data , as well as the neural network itself , there are some shortcomings , we have adopted the Bootstrap method generalization of sample data processing , and the experimental results show that this method can effectively improve the training of the neural network correctly . Finally, using software simulation of the various forms of SNP data experiment, through the comparison between the experimental results of analysis of the ability of the model created by the division method using hard to adapt to different pathogenic model .

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CLC: > Medicine, health > Basic Medical > Of Medical Genetics
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