Descripción
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We present a computing model based on the DNA strand displacement technique which performs Bayesian inference. The model will take single stranded DNA as input data, representing the presence or absence of a specific molecular signal (evidence). The program logic encodes the prior probability of a disease and the conditional probability of a signal given the disease playing with a set of different DNA complexes and their ratios. When the input and program molecules interact, they release a different pair of single stranded DNA species whose relative proportion represents the application of Bayes? Law: the conditional probability of the disease given the signal. The models presented in this paper can empower the application of probabilistic reasoning in genetic diagnosis in vitro. | |
Internacional
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Si |
Nombre congreso
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18th International Conference on DNA Computing and Molecular Programming |
Tipo de participación
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960 |
Lugar del congreso
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Aarhus, Dinamarca |
Revisores
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Si |
ISBN o ISSN
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978-3-642-32207-5 |
DOI
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10.1007/978-3-642-32208-2_9 |
Fecha inicio congreso
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14/08/2012 |
Fecha fin congreso
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17/08/2012 |
Desde la página
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110 |
Hasta la página
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122 |
Título de las actas
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DNA Computing and Molecular Programming Lecture Notes in Computer Science Volume 7433, 2012 |