Let ((P_{0}, d_{P_{0}})) be the metric space of data of (SSGVQEP) problems mentioned above, let ((Xtimes Y, d_{Xtimes Y})) be the metric space for the solutions of a problem p in ((P_{0}, d_{P_{0}})) and Γ be the solution mapping from the space ((P_{0}, d_{P_{0}})) of problems to the space (2^{Xtimes Y}) of all non-empty solution subsets in ((Xtimes Y, d_{Xtimes Y})).
Such strategies can also be used in further studies to enhance the metric comparability of data across countries.
The distance was calculated using one minus Pearson correlation metric of normalized data, as explained in full details in Methods, to evaluate the level of similarity among the samples from the miRNA perspective.
The pairwise similarity between phenotype A and B, therefore, is 0. We employ mm-tSNE to overcome transitive similarities which break the non-metric similarity of data points to different maps [ 12].
Key advantages of the process described here includes a clear and simple process allowing bench scientists access to transparent analysis ideas, as well as to database repository curators through our reliability metric for data inclusion in terms of a minimum M, or sensitivity and specificity scores [ 29].
To efficiently analyze the data, a new metric for assessment of data utility, the combined classification quality measure, was developed.
Jitter-based TCP (JTCP) [14] utilizes another metric, the jitter of data transmission time used in Real-time Transport Protocol (RTP) [25].
The limitations of this type of work are twofold: determination of the components defining quality and cost for the A-score metric; and procurement of data needed to calculate the A-score.
Toward contributing in this research area, we have presented an image-based quality assessment metric of biometric raw data using two types of information (image and pattern-based quality).
