Sentence examples for methods we got from inspiring English sources

From 10 original methods, we got 45 intersections.

After summing data from both methods, we got a total of 235,519 synteny blocks.

Finally, Lareau et al. got some long footprints without use of cycloheximide, and when we analyzed these by our methods, we got a reasonable correlation (0.47) with our results, which argue that cycloheximide is not introducing severe artefacts.

From the analysis of 3 methods, we get the similarity criteria of coal and gas outburst.

Using some methods, we get asymptotic estimates of the eigenfunction for the problem (1.1 - 1.3 1.1 - 1.3on 4.

The examples show that by using our proposed methods, we get (G^{0} -, and (G^{1} -degree reductions, while having less errors than existing methods, which are without any continuity conditions.

(B2′) lim | q | → + ∞ V ′ ( q ) = 0 ; (B3′) V ( q ) + 1 2 V ′ ( q ) q ≥ h, ∀ | q | ≤ ρ 0. Then (1.1 - 1.2 1.1 - 1.2least one periodic solution withavee given energy h atd whose action is at most 2 π r 0. Using variationaleastimizing methone, we get the following theorem.

For each combination of rates of gene duplication and loss, data generation methods, and base network inference methods, we get the networks inferred by DBI or DEI for the family of organisms.

Using our prediction that the number of modules will be ∼10 and that λ/ σ ≈ 5.3 in the optimal grid (see Optimizing the grid system: probabilistic decoder, 'Materials and methods'), we get Nest ≈ 1400.

Using a new auxiliary equation method, we got the 15 sets of travelling wave solution of K-dV equation.

With the new method, we got much better results in terms of both training and testing data accuracies than many other classification algorithms like minimum Euclidean distance, Fisher linear likelihood and extraction and classification of homogeneous objects, which is a spectral-spatial classifier algorithm.