Exact(4)
Figure 10(a) shows the time-line for the slowest rung, rung 0, of cosmo25 dataset simulation for a 32K core run on Blue Waters.
The second step of the complete dataset simulation corresponded to the determination of the item answers.
The discriminatory power of the panel was evaluated by dataset simulation.
For the evaluation of the algorithms, three different case-control models (A, B & C) (Table 1) were used for dataset simulation.
Similar(56)
The proposed model is evaluated on two different datasets, including simulation dataset and real dataset, and state-of-the-art performance is achieved compared with other methods.
The resulting HMM-based modeling framework evaluates the model quality by the likelihood of a model given a test dataset of simulation trajectories.
The difference in the behavior of the covarion model and the MBL model on the real datasets and the simulation datasets implies that the real dataset might not have such global rate shifts (i.e. all the corresponding branch lengths in different categories would be drastically different) as designed in the simulation datasets.
However, in the 2006 dataset, the simulation results also exhibited more prediction errors, as can be seen in the RMSE.
The dataset with simulation results for our example is attached as Additional file 1.
For the second, a positive control (SIM06), we simulated reads from simulated chimeric event transcripts, and combined these reads with the wild-type reads from the first dataset (see Simulation set up in Methods, below).
Using real datasets avoids simulation biases and gives a real picture of mapper behavior, whereas simulated datasets are benchmarks from which all parameters can be controlled.
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