Sentence examples for both datasets by using from inspiring English sources

Tree topologies were determined on both datasets by using MrBayes version 3.1 (20 ).

Women of Turkish origin were identified in both datasets by using a name-based algorithm.

Variant and read depth information were obtained from both datasets by using SAMtools.

-wrap> To understand the biological meaning of these putative salivary transcripts repertoires, we first performed a comprehensive functional prediction analysis for both datasets, by using online BLAST2GO software.

At a constant alert rate of 1%, sensitivity was improved for both datasets by using a minimum standard deviation (SD) of 1.0, a 14 28 day baseline duration for calculating mean and SD, and an adjustment for total clinic visits as a surrogate denominator.

We modelled the E. coli datasets by using the ensemble approach integrating both correlation and ratio procedures as described above.

We also optimize the EnKF calculation for large datasets by using the computationally efficient UR decomposition.

We evaluate the proposed bi-objective feature selection and weighting framework on a set of 15 standard datasets by using the popular k-Nearest Neighbor (k-NN) classifier.

We then combined these datasets by using the predicted zero flow duration from the regression model to determine appropriate 'zero' flow thresholds for the modelled discharge data, which varied spatially across the catchments examined.

Further, to achieve better performance, we have devised a novel classifier for imputed datasets, by using the self-adaptive control parameters of differential evolution (DE) with equilibrium of exploitation and exploration optimized radial basis function neural networks (RBFNs).

We then examined the resolution of these datasets by using checkerboard tests.