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Synthetic Dataset The synthetic dataset includes random data records, which follow Zipf distribution [28].
Synthetic dataset In order to evaluate completion time performance on Big Data, we created a synthetic dataset via a Big Data generator.
Synthetic dataset.
Panels show results for the real dataset (a), synthetic dataset with differential gene expression (b), and synthetic dataset without differential gene expression (c).
The LRTE MLE method is first verified using synthetic dataset.
Figure 2c shows the results for the synthetic dataset without differential gene expression.
True differential expression was known, by construction, for the synthetic dataset with differential gene expression.
For the synthetic dataset, learning stabilises around 3000 images.
We further show that the knowledge learned on the synthetic dataset generalizes to constrained real images.
Each synthetic dataset hosted on the SDS allows for validation against the confidential data.
Panels show the detected variation as a function of the number of genes used in the between-condition normalization, for the real dataset (a), synthetic dataset with differential gene expression (b), and synthetic dataset without differential gene expression (c).
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