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To compare different methods, we select 3 LDR images out of the 17 images, with exposure times 1/800, 1/200, 1/25 s.
In order to test the performance of multiple data integration of our methods, we select those genes that appears at least four times in the five networks.
To make comparison between our method and these two cost-sensitive methods, we select the cost settings with which both cost-sensitive methods have the best F-measure values.
To evaluate the sensitivity and the precision of our digital PCR methods, we select three of the selected miRNAs showing different levels of expression (i.e. mir-16-5p mir-486-5p and mir-660-5p) analyzedyzed their expression in plasma samples.
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Based on the miRNA selection criteria (see "Materials and Methods"), we selected 7 highly differentially expressed miRNAs from these 68 down-regulated miRNAs.
To illustrate these methods, we selected the data from a randomized study published in 2009 [10] that was based on two groups of 25 patients (Additional file 2).
To compare the seismic intensity prediction results of the frequency-dependent and scalar correction methods, we selected station pairs that were separated by less than 10 km.
To overcome the previously recognized inefficiency for establishing primary tumor cultures, and based on empirical observations described in the methods, we selected the "optimal" condition as being 30% MPE-fluid component admixed v/v into base medium containing antibiotics (primary culture medium, or pcm).
Methods: We selected 213 commercial products representing 50 product types.
Among the different next generation sequencing methods, we selected the GS FLX sequencing platform.
For ridge regression, lasso and our methods, we selected the regularization parameters using a validation set.
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