Sentence examples for dataset using a single from inspiring English sources
In order to confirm the stability of the test results on the "25conf" dataset using a single query, ACPC was run with all the active ligands as queries.
Conversely, ML and Bayesian phylogenetic reconstructions from the complete nucleotide dataset using a single site-homogeneous GTR + G model for the whole concatenation (BPML = 76; PPBAY = 1.0), and a mixed model partitioned by gene (BPPARTG = 54) tended to support an alternative topology grouping turtles with crocodilians (Table 1).
Using the default parameters (Tanimoto coefficient and circular ECFP-like Morgan fingerprint), the path was generated in 9.5 minutes on average (averaged over all start/target pairs from all datasets) using a single processor core.
Linking via a global selection and filtering mechanism facilitates to switch between visualizations, and a flexible subset storage mechanism allows the user to organize the compound set and to either compare different datasets using a single visualization or to analyze different aspects of a single dataset with the help of different types of views.
In both validation techniques, significant differences (which are visually apparent) were noted between the original datasets, datasets corrected using a single spline-fit and the datasets corrected using the proposed dual-spline fit process.
That is, a signature developed using a single dataset may overfit certain aspects of the dataset that are not of primary scientific interest, leading to poor performance on independent data.
In Figures 3b and 3c, we show that by using a single dataset those results reduce to 155 of 304 (51%) parks and 24 of 45 countries (53%).
A previous study evaluated the performance of eight published anti-TNF gene expression classifiers using a single dataset, GSE33377 [ 16].
This study validated six scoring systems and algorithms to risk-stratify patients for MT at a very early stage after trauma, using a single dataset of severely injured patients derived from the civilian TraumaRegister DGU® database.
This study validated six scoring systems and algorithms to stratify patients at risk for massive transfusion at a very early stage after trauma, using a single dataset of severely injured patients from the TraumaRegister DGU® database.
