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Datasets were modeled either with one or two time series.
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Note that the two benchmark datasets were modelled using neural network training, while we modelled the P-gp data with a decision tree method.
Our datasets were modelled after 454-pyrosequencing data and included no mate-pair information.
These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average monthly precipitation between 1981 and 2000 to be used for display and/or analyses requiring spatially distributed annual precipitation.
These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average annual precipitation between 1981 and 2000 to be used for display and/or analyses requiring spatially distributed annual precipitation.
These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average annual precipitation between 1971 and 2000 to be used for display and/or analyses requiring spatially distributed annual precipitation.
These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average monthly precipitation between 1981 and 2000 to be used for display and/or analyses requiring spatially distributed monthly or annual precipitation.
It is also important to note that these ancillary datasets are modelling outputs in themselves and thus they have a degree of uncertainty that will carry over into the migration estimates.
For example, the model of Savage et al. (2010) performs integrative modelling of two datasets only, achieved by introducing a 'fused context' (in which the two datasets are modelled together via a product of likelihoods) in addition to two 'unfused contexts' in which the two datasets are modelled separately.
For that, the metabolic networks of the dataset were modelled as reaction graphs.
The dataset is modeled and compared in detail to the rest of the literature review, which found 59 dose tolerance limits for the spinal cord in 1-5 fractions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com