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Consequently, we can expect that the choice of dataset would strongly affect any inference we draw from these data, simply because the conflict dynamics represented in each datasets at any level of analysis are indeed quite different.
The genes in each datasets were ranked based on either p values or scores.
In order to produce at least 600 candidates in each datasets for subsequently selection, we used a cutoff of 0.001.
The details of calculations of gene similarities in each datasets, disease similarities and linear regression with lasso penalty are explained in the following subsections.
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"Items" indicates the number of the data in each dataset.
We describe the experimental setting and results in each dataset.
We further analyze the timing signatures in each dataset separately.
Finally, we achieve better final models in each dataset than their full models by most measures.
Numbers of trees by species and diameter class in each dataset are presented in Table 1.
The number of detected bots in each dataset using SVM classifiers are presented in Table 6.
40176_2014_49_MOESM1_ESM.pdf Additional file 1: Table 7: Countries of origin in each dataset.
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