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Female MRL/lpr mice were randomly separated into four groups.
In the study, 162 subjects were randomly separated into an intervention group and a control group.
The mice were randomly separated into two groups and treated with either 15 mg kg−1 day−1 of galunisertib or vehicle by intraperitoneal injection for 7 days.
On the day of the experiment the rats were randomly separated into a Diving group that repetitively dived underwater, a Swimming group that repetitively swam on the surface of the water, and a Control group that remained in their cages.
For each SVM run, genes were randomly separated into training and test sets.
Twelve hours before experiments, the rabbits were randomly separated into two groups and fasted but with free access to water.
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Training and testing sets of the GEP-based formulations are randomly separated from the complete experimental data.
The data are randomly separated into a training set with 5 patients (l99 data points), a validation set with 5 patients (177 data points) and a testing set with 5 patients (193 data points).
To verify the absence of a methodological bias, genes have been randomly separated into 2 classes (I and II).
To calculate the reproducibility of parcellation on each dataset, the entire group was randomly separated into two sub-groups, with one parcellation result for each sub-group, and the consistency between the two results was evaluated using NMI (Eq. 4).
To rigorously demonstrate that tumour and normal mucosa tissue could be distinguished using their protein spectral profiles, the 64 spectra were randomly split into separate training and test datasets.
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