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This work addresses the GRN inference problem by modeling prior knowledge about the network topology.
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Independent of a global model, prior knowledge on structural boundary conditions is not compulsory.
Our analysis provided a novel picture of autism from the perspective of related neurological disorders and suggested a model by which prior knowledge of interaction networks can inform and focus genome-scale studies of complex neurological disorders.
Alternatively, users can generate a classification model by using prior knowledge about the taxonomy profile of the target microbial community.
Finally, a more reliable location estimate is obtained using Bayesian filtering to combine the raw classification result provided by the localization model with prior knowledge of the physical layout of the area under study.
Mostafavi, S. et al. Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
Maddalena and Petrosino [27] automatically generated the background model without prior knowledge by using self-organizing artificial neural networks.
For example, this could be realised by restricting the freedom of the model pose using prior knowledge on the allowed range of movement of the TKR.
Third, we model students' prior knowledge using scores obtained on a multiple-choice pre-test.
The mixture model uses prior knowledge to specify meaningful priors.
Large-scale models using prior knowledge about detailed signal transduction mechanisms are becoming more common.
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