Sentence examples for datasets are presented on from inspiring English sources

Graphical expression profiles from all datasets are presented on a single results page, displaying mean RPKM/FPKM values +/− Standard Error Mean (SEM) (Fig.  1c).

Experimental results on two RGB-D person re-identification datasets are presented to show the efficiency of our proposed approach.

Average runtime for Go-ICP on different datasets are presented in Table 5 where average run times of the new algorithm at different generation numbers are presented.

Only results based on imputed datasets are presented here as complete case analysis is thought to suffer from more chance variation, and multiple random imputation is assumed to correct any bias.

The results from vocal extraction on the test datasets are presented.

The transporters classified as being expressed in the kidney, the liver, or in both tissues based on these available datasets are presented in Table S5.

Extensive experiments on both synthetic and real datasets are presented in Sect. 5.

Further details on genotyping and QC of these datasets are presented in the Supplementary Material.

In order to assess the accuracy and robustness of our approach, results are presented on datasets which have been: recorded at two different locations; taken at moments widely separated in time (approx. 2 years); realized under substantially different experimental conditions.

Results from 3 of the analyzed datasets from patients with brain tumors are presented on Figure 1.

In this paper, a dimensionality reduction method designed to enable effective Support Vector Machine Recursive Feature Elimination (SVM-RFE) on NIR/MIR datasets is presented.