Sentence examples for dataset and evaluating the from inspiring English sources
Grouping the samples into the nine tumor types found in this dataset and evaluating the mean proliferation rate of each group, a significant correlation is obtained between the measured and actual growth rates of the different tumors (Spearman R = 0.71, p-value = 0.03, Figure 2D).
The chapters introduces each software package, provide details on how to get access to the software, demonstrate how the software can be used to perform geomorphometric analysis using the common Baranja Hill dataset, and evaluate the software's strengths and weaknesses.
We ran the function prediction methods for sequences in this benchmark dataset and evaluated the method's prediction performances.
It is defined as a rank of the value in a dataset as a percentage of the dataset, and evaluates the relative standing of a value within a dataset.
We also extracted information from the publicly accessible 'The Cancer Genome Atlas (TCGA)' RNA-sequencing dataset and evaluated the expression of YKL40 in normal adjacent prostate tissue vs prostate tumour tissues.
To accomplish this goal, this work applied machine learning (ML, see glossary in Additional file 1) modeling to a large longitudinal dataset and evaluated the method's ability to identify multiple, equally predictive sets of variables.
We perturb a dataset and evaluate the extent of confidence on the monotonicity properly by adding noise to all samples (as shown in Additional file 2: Fig. S1), and apply the same method to the perturbed a dataset to calculate the DEtotal of genes.
Similarly, the chart labeled as "Netherlands-USA" shows the classification performance for choosing the feature set using the Netherlands dataset, and training and evaluating the classifier based on the USA dataset.
Correspondingly, the respective subjective dataset for training and evaluating the planning model and the monitoring model should be built differently.
The physical model is used to generate simulation datasets for developing and evaluating the diagnostic scheme that will be further calibrated with real world test data during application.
