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Solving probability reasoning based on DNA strand displacement and probability modules
Institution:1. Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, 116622, China;2. School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China;1. Department of Mechanical Engineering, Graduate University of Advanced Technology, Kerman, Iran;2. Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;3. Department of Medical Physics, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran;4. Istituto Italiano di Tecnologia, Graphene Labs, Genova, Italy;5. ISOF – Istituto per la Sintesi Organica e la Fotoreattività, Consiglio Nazionale delle Ricerche, Bologna, Italy;6. Laboratorio MIST.E-R Bologna, Bologna, Italy;7. Department of Materials Science, University of Patras, Rio Patras, Greece;8. Institute of Chemical Engineering Sciences, Foundation of Research and Technology-Hellas, Platani, Patras Acahaias, Greece;9. Laboratory of Bio-Inspired & Graphene Nanomechanics, Department of Civil, Environmental and Mechanical Engineering, Università di Trento, Trento, Italy;10. Center for Materials and Microsystems, Fondazione Bruno Kessler, Povo (Trento), Italy;11. School of Engineering & Materials Science, Queen Mary University of London, London, UK;1. SiSaf Ltd, Innovation Centre, Northern Ireland Science Park, Queen''s Island, Belfast, BT3 9DT, UK;2. Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche (STEBICEF), Università di Palermo, Via Archirafi 32, 90123, Palermo, Italy;1. Department of Chemistry and Molecular Biology, University of Gothenburg, Box 462, 40530 Gothenburg, Sweden
Abstract:In computation biology, DNA strand displacement technology is used to simulate the computation process and has shown strong computing ability. Most researchers use it to solve logic problems, but it is only rarely used in probabilistic reasoning. To process probabilistic reasoning, a conditional probability derivation model and total probability model based on DNA strand displacement were established in this paper. The models were assessed through the game “read your mind.” It has been shown to enable the application of probabilistic reasoning in genetic diagnosis.
Keywords:DNA strand displacement  Conditional probability  Total probability  Probability reasoning
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