id: 06102522
dt: a
an: 06102522
au: Sainz de Murieta, Iñaki; Rodríguez-Patón, Alfonso
ti: Probabilistic reasoning with a Bayesian DNA device based on strand
    displacement.
so: Stefanovic, Darko (ed.) et al., DNA computing and molecular programming.
    18th international conference, DNA 18, Aarhus, Denmark, August 14‒17,
    2012. Proceedings. Berlin: Springer (ISBN 978-3-642-32207-5/pbk).
    Lecture Notes in Computer Science 7433, 110-122 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-32208-2_9
ab: Summary: 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.
rv: