Sentence examples for datasets to find from inspiring English sources

Efficiently exploring large datasets to find relevant examples remains a challenging bottleneck.

These were then compared in the same way as the Arabidopsis microarray datasets to find overlap.

The search process was improved by going back and forth between the different datasets to find missing domains.

As illustrated in the analysis described here, the method we developed is especially useful for exploring large and complex datasets to find interesting aspects and generate hypotheses.

Optimized routines are provided to perform k-mer counting from large sequence datasets, to find k-mer neighborhood or to select k-mers based on different criteria.

Blast2GO provides the gene annotation information for the ESTs and also helps in comparison of two EST datasets to find expression differences.

Again, we explored our simulated dataset to find reasons why this might be the case.

We present two strategies that can be used to analyze a dataset to find a leak of CO2.

We ran SUBSCALE on this dataset to find all possible subspace clusters and Fig. 11 shows the runtime performance with respect to ε values.

Gradient descent method has been applied on the same world wide IT spending dataset to find out optimal elasticities for cost minimization.

When tuning SVM parameters in this study we started with a grid search on a sample of our dataset to find good values of cost and γ for regression.