Development of theory and procedures for personalized medicine using statistical mechanisms of information processing

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We investigated the haplotype inference method, which is an indispensable information processing technique for personalized medicine providing high quality diagnoses or medical treatments based on individual genetic information. This method involves dividing individual genetic information into two groups, one for paternal origins and the other for maternal origins. Our main achievement is the development of a novel highest quality haplotype inference method. The developed software is available for free through our website. We also developed more powerful but less accurate inference methods by using statistical mechanical techniques.