Sentence examples for issues of the validation from inspiring English sources

Two important issues of the validation procedure are discussed, i.e. effective techniques to perform data compression using the principles of orthogonal decomposition, as well as methodologies to quantify the quality of simulations and make decisions about model validity.

This work addresses the issue of structuring the validation process of dependable computer based systems.

Analytical issues surrounding the validation of oxidative stress biomarkers have received substantial attention recently (33, 100).

Because of the complexity of the issue, different aspects of the validation of toxicogenomics-based test methods were covered.

The choice and availability of appropriate criterion measures are particular issues of concern for the validation of PA questionnaires in low-income countries of Africa.

The choice and availability of appropriate criterion measures are particular issues of concern for the validation of physical activity questionnaires in the low-income countries of Africa [ 5, 38].

An overlooked but highly important issue is the validation of the setup of the dataset, which comprises addition of chemical structures as well as selection of descriptors and software implementations prior to calculations.

Considerations given to validation of the technology encompassed the technical and bioinformatics issues related to the validation of toxicogenomics-based test methods.

The biological issues related to the validation of toxicogenomics-based test methods involved two strategies proposed for developing and validating such methods so that they can be employed to support regulatory decision making.

In order to better shed light on the methodological issues and the actual use of the validation methods, we take advantage of two leukemia datasets which are paradigm cases in biomedical practice.

In this study, we highlight a major issue that the validation of reverse engineering algorithms on small benchmark networks very often results in networks which are not statistically better than a randomly picked network.