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Applicability to the method is illustrated in a case study.
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To demonstrate the applicability of the method to different ethnic groups, we applied seq2HLA to 77 lung RNA-Seq profiles from a lung cancer study in un-typed Korean patients [ 17].
To prove the applicability of the method to other areas of application, the proposed method was tested on a number of data sets from other domains.
Both aspects provide challenges for the application of the method, and the purpose of this study is to evaluate the applicability of the method to the relevant region.
Furthermore, l-MTX was determined in a cell culture extract as a proof-of-principle experiment to show the applicability of the method to biological samples.
More extensive statistical simulation studies would determine its limitations and applications and the applicability of the method to additional outcomes.
To further improve the applicability of the method to cases of large modelling errors, a new novel function-weighted sensitivity method is developed.
Linear correlation coefficients (r) were generated for each curve to determine the applicability of the data to the method of analysis.
Since the above approaches define the similarity beforehand, they limit the applicability of the method to a certain application area or to certain classes of signals.
A simple two decision-maker, four-state game is used to demonstrate the applicability of the method and to illustrate the insights it provides.
Applying the method to a linear quarter car model illustrates the applicability of the method to MDOF systems.
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