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To compare the reproducibility and quality of drug testing data after normalization for row, column and edge effects within a single plate, we utilized a simulated dataset and a real experimental dataset from the FIMM-High Throughput Biomedicine facility.
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If a simulated dataset has no counts, we do not analyze it.
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A simulated dataset and three real biological datasets are used to test the validity of the FNT model.
We test the accuracy of these methods on a simulated dataset, and a biological animal model.
In this study, CIS is able to detect the overlapped clusters in a simulated dataset.
We demonstrate the performance in a simulated dataset as well as in human iEEG data.
Section 5 reports experimental results on the TerraSAR-X datasets and a simulated dataset.
Network 1 is a simulated dataset.
Each row corresponds to a simulated dataset and contains the parameter values used to simulate the dataset and summary statistics computed on the simulated dataset.
Thus, we created a simulated dataset with increased covariance.
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