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However, single domain direct approach of this method to large structures requires much computational resources and even makes analysis intractable in the case only limited computer storage is available.
PDSA is the acronym for Plan-Do-Study-Act and describes the stepwise approach of this method [5].
The approach of this method is local and adaptive as the basis set for the decomposition is derived from the data itself.
We illustrate the approach of this method, denoted hereafter as sesTI, for the diagnostic case of the butane-to-butane alchemical transition in water.
To further demonstrate the general approach of this method, polonies were also used to detect K- ras2 mutations in the pancreatic cell lines, AsPc-1 and CAPAN-1.
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This notion is analogous to the idea of utilizing sulfonamide inhibitors with variable "tail" regions for isoform selective inhibitor development however in this study we have presented a more guided approach to this method of CAI design [ 106].
The designated architecture (our novel approach) for this method is composed of three SVMs.
The k-mers counting method was implemented in some important multiple sequences alignment tools, such as MAFFT [ 6, 7] and MUSCLE [ 1], and to the extent of our knowledge there is no other work in the literature that has developed and tested a parallel approach, specifically of this method.
However, with the proposition of adaptive threshold setting in the wavelet approach the robustness of this method against noise and sampling frequency is guaranteed.
Numerical results are presented to validate and assess the proposed approach, and the advantages of this method are examined.
Numerical examples are presented to validate the approach and the superiority of this method is also demonstrated.
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