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We implemented this comparison using a family of binarizing front-end nonlinearities that undergo multiple steps between +1 and −1 (Appendix figure 2A).
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OrChem implements this comparison using a dedicated database table that is partly listed in Table 2. Database table orchem_fingprint_subsearch has a separate column for each bit in the fingerprint; this is different from the table for similarity searching that has a single raw data column to store an entire fingerprint.
To implement this comparison, ustacks breaks the sequence of each stack into a set of overlapping fragments of equal length k (k-mers) (Edgar 2004; Vinga and Almeida 2003).
We implemented this value comparison function through responses of simulated biological neurons.
We implemented this pair-wise comparison for all motif finding Web tools for each dataset.
However, it took months before the practice was implemented so this comparison may be considered reasonable.
It is necessary to compress huge amounts of full-field data before implementing the comparison procedures.
When implementing the comparison group design, the differences between the target and control groups provide evidence of the effects due to establishment of new routes.
While a variable threshold should solve this problem, their suggested method of spatial-smoothness filtering is implemented for comparison.
Linguistic variables in this work implemented for pairwise comparison, determination weights and corresponding fuzzy numbers are listed in Table 1.
Whole family of LMS algorithm has been implemented for comparison.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com