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This chapter discusses various approaches for validating the architecture of a software application within the Continuous Architecture process.
Emphasis is placed on the choice of visual representations along with discussion of approaches for validating the usefulness of the visual analytics solutions proposed.
The recent emphasis on rough energy landscapes for protein folding reactions by theoreticians, and the many observations of complex folding kinetics by experimentalists provide a rationale for a brief literature survey of various empirical approaches for validating the underlying mechanisms.
In addition, with more and more genome-wide data being made publicly available (e.g., Gene Expression Omnibus) and ever-increasing numbers of computational approaches for predicting findings and hypotheses, examining figures reported in bioscience literature remains one of the most effective approaches for validating the predictions.
With the increasing availability of published microarray data sets, there is a tremendous need to develop approaches for validating and integrating results across multiple studies.
Further improvements for complex mining can be obtained by improving the quality of the PPI data with new and more powerful experimental detection technologies, or with computational approaches for validating the existing protein interactions (to address false positive interaction issue) and predicting novel protein interactions (to address false negative interaction issue).
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Blind-testing is an important tool that should be used by all analytical fields as an approach for validating method.
While a detailed analysis of this set will be reported elsewhere we would like to outline our approach for validating the ability of our models to rank papers.
In this paper, we present a new approach for validating schema mappings that allows the mapping designer to ask whether they have certain desirable properties.
In this paper, an approach for validating the safety requirements of digital I&C systems is developed which uses the Dynamic Flowgraph Methodology to conduct automated hazard analyses.
This paper proposes a pragmatic approach for validating, at the design step, real-time in-vehicle applications using Controller Area Network CANN) as the underlying communication system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com