Sentence examples for datasets check from inspiring English sources

Rather than waiting until all data were entered, we created interim datasets to check for consistency across datasets, check for duplicate forms, and compare entered forms with the tracking database to see if the two sources matched.

SLR prepared the dataset, checked SAS programming, and revised manuscript.

We have used those datasets to check the performance of the proposed controller in multiblock data transfer procedure.

Briefly, P-value derived from Wilcoxon rank sum test were calculated for all breast-cancer-study-validated genes in other microarray datasets to check whether significant variation between breast cancer and controls also appeared in those disease datasets.

Then, we evaluated and compared the model performance using all three datasets to check the impact of scalability.

Afterwards a sensitivity analysis was performed on both the original and imputed datasets, to check that the imputation had not introduced bias.

We scan both our CORE and FULL datasets to check the ratio of complex-forming to non-complex-forming proteins in each dataset and we found in CORE dataset the ratio is 0.82 whereas in FULL dataset the ratio is 0.52 (two sided Fishers exact test, P = 1.60 × 10-13).

A principal component analysis (PCA- DIYABC, Additional file 4: Figure S2) was performed on the first 30,000 simulated datasets to check if the set of scenarios and the prior distributions of their parameters were able to generate datasets similar to the observed dataset.

Regarding the phenomenon of dysregulation of the Inhibition of Matrix Metalloproteinases Pathway in ATC we perform IPA/IKB causal network calculations (see the Pathway Analysis subsection in Methods) for the two independent validation datasets to check whether this was the case.

Questionnaires and the dataset were cross-checked by study staff and analysis also conducted of the dataset to check for inconsistent data entries.

This goal can be achieved by dividing the available dataset in two parts: a first (in chronological meaning) part of dataset, hereinafter learning dataset, can be used to set up the model and a second, the testing dataset, to check its reliability.