The quantitative evaluation in experiment 1, classified 82 out of 88 (93.2%) image pairs as correctly registered.
Here we discuss the design and implementation of these concepts within the Arcos framework, and demonstrate their use for verification testing and hypothesis evaluation in numerical experiments.
For example, we compute protein sequence similarity based on the normalized BLAST bit score [ 20] in this paper so that the latter performance evaluation in our experiments based on curated functional annotations is as unbiased as possible.
This can also be expected by the results of subjective evaluation in next experiment.
It should be noted that we were unable to obtain chicken relaxin 3 for evaluation in this experiment, though it was included as part of the network by Pathway Miner.
With the evaluation used in Experiment 1, one could argue that the best performance would be achieved by a dedicated ICD-10 classification system.
As extraction of the potential secondary ICD-10 codes is non-trivial, we have in this study only used the primary ICD-10 codes - used for training two of the semantic models and for evaluation purposes in Experiment 1. ICD-10 codes have an internal structure that reflects the classification system ranging from broad categories down to fine-grained subjects.
In order to control these issues, and for homogeneity in the evaluation of experiments performed in different laboratories, ideally, the best alternative would be the use of a common computational strategy with well-established programs universally available to the community.
A related aim is to demonstrate strategic examples of PKPD collaborations that have improved the planning, execution and evaluation of experiments in primary and safety pharmacology.
Two heterogeneous embedded computing platforms, Jetson TX1 and TK1 evaluation boards, were evaluated in the experiments.
The rest of the paper is organized as follows: basics of random walk procedure and the proposed LRW algorithm are explained in "Methodology" section; an extensive set of experiments on the simulated and real graph data, along with both numerical and visual evaluations are given in "Experiments" section; finally, the conclusions and future work are discussed in "Conclusions" section.
