Sentence examples for coefficient metric from inspiring English sources

The same probe sets found for the APL-specific gene signature were analyzed for this comparison, accomplished by means of unsupervised hierarchical clustering (correlation coefficient metric and average linkage) and principal component analysis in the MATLAB environment.

The correlation coefficient metric for the i-th run, R i, which is used for the robust principal component analysis, is the average correlation within a common grouping (e.g. treatment group, G), and has dimension (n×1).

The Ward linkage and cosine coefficient metric were used, and results were assessed with the software program R. Contiguous alterations were expressed as regional or whole-arm changes by calculating the median log 2 ratio of all BAC clones mapping to each altered region of a chromosome.

Compared with the correlation coefficient based metric, the MI is suitable for nonlinear relations and represents a good metric for evaluating the dependency between two random variables [ 15].

We record the iteration number and the CPU time from our experiments with Matlab codes run on an PC, with AMD Athlon (tm) 2.70 GHz CPU, 2.00 GB memory, and Matlab 7.4 on Windows 7. We will use the dice similarity coefficient (DSC) metric [32] to evaluate quantitatively the performances of both methods.

Specifically, we use Bhattacharyya Coefficient based metric [20] to compare the distributions of similarity values between the sets of similar and dissimilar interfaces generated by each measure.

A more detailed analysis using Bhattacharyya Coefficient based metric [20] also showed the larger distance between the distributions of iiRMSD values for the similar and dissimilar interface pairs (dBC = 0.36), compared to the distributions of siRMSD values (dBC = 0.23).

The Pearson correlation coefficient distance metric was used in the clustering analysis.

As expression data were not normally distributed, the non-parametric Spearman Correlation Coefficient distance metric was used in the clustering procedure.

The fact that a consistent causal connectivity map is available in addition to the caused connectivity map, is a significant advantage of using the MAR coefficient norm metric.

The script of the function was adapted in order to use the Pearson correlation coefficient as metric (not implemented in the Bioconductor package).