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In order to assess the relative merits of these methods, I repeated the experiments of Section 4 for both methods and compared the resulting maximum absolute and relative force errors incurred for the same cell → cell interactions (for which the two methods give different θ).
Further prospective and comparative studies will be needed to assess the relative merits of these methods.
In this paper the relative merits of these methods are examined and a middle way proposed.
A fair comparison for the relative merits of these methods requires their evaluation on benchmark datasets, which the DREAM (Dialogue for Reverse Engineering Assessments and Methods) project (Marbach et al., 2009) provided.
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We evaluated the numerical merits of those methods and provide an estimation of their numerical complexity.
Understanding the relative merits of those methods will be critical for informing potential users of those classifications.
Moreover, the number of proposed methods for learning regulatory networks from systems data is growing and it is difficult to compare the relative merit of these methods unless methods are evaluated on similar datasets using similar metrics.
The merit of these methods is that they identify essential proteins directly and don't need to train a classifier according to a set of known essential proteins.
A number of different benchmark problems are used to perform a detailed and systematic assessment of the relative merits of these two methods in terms of interpolation properties, performance and conditioning.
Given the underlying assumption that the success of the sensor in vitro foreshadows the long-term reliability of the sensor in the human body, the relative merits of these testing methods are evaluated with respect to how representative they are of human models.
We discuss the relative merits of these three methods for the determination of the elastic properties of protein fibrils, particularly considering the differences and difficulties of each method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com