Sentence examples for dataset structure for from inspiring English sources
The training and test dataset structure for m = 6 is schematically described in Fig. 2. The label (output) data for position recognition was simply a sector coordinate that designated the column and row numbers of the 6 × 6 matrix, and the label data for displacement (pressure) was a real number.
Review3 : The rooms service is bad Table 1 Example of text features dataset structure, for reviews 1, 2 and 3 Review the hotel rooms were so great we had a time at this service is bad stay Review1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 Review2 0 1 0 0 0 1 1 1 1 1 1 1 0 0 0 1 Review3 1 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0. Review1 : The hotel rooms were so great.
> -wrap-foot> For the training dataset, structures aligned to the membrane normal were obtained from the OPM database (Lomize et al., 2006).
Using this dataset, structure-based multiple sequence alignment was generated for each enzyme class separately.
We developed a method for clustering potential binding sites using a curated dataset of structures for six therapeutically relevant proteins from diverse protein classes in the protein data bank.
Using a real dataset to provide a suitable structure for simulating the datasets, as in this study, simplifies the data generation procedures, avoids arbitrary choices and can aid the generalisability of the results.
SPARQL is the W3C [Prud and Seaborne, 2006] recommendation for querying datasets structured according to the Resource Description Framework (RDF) [Lassila and Swick, 1998].
Using large datasets with minimal population structure for imputation and GS is advocated to avoid heterogeneity of imputation and GS accuracies across subgroups of individuals.
Using a different docking software (ParaDockS) than in [24], a new CYP 1A2 model was calibrated automatically using the same dataset of compounds and protein structure (for which the center of the binding site was defined automatically based on heme domain coordinates).
Participants are asked to generate a network structure for each dataset with a confidence score for each edge.
