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Candidate genes encoding for mandible-forming structural proteins were mined in C. quadricarinatus molt-related transcriptomic libraries by using a binary patterning approach.
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When the wide stripes are used, a binary pattern is designed to get the ideal sinusoidal curve which consists of the binary ellipse pattern.
In this paper we proposed to use a Binary Pattern Run Length matrix based on the random forests method for head pose estimation.
Interestingly, we identified patterns of PB gene expression that appeared to distinguish HL-irradiated mice from non-irradiated control mice using a binary regression analysis (Figure 1C).
Find object using a binary search.
Second, GX-FBA does not use a binary criterion for pattern maximization whereby the metabolic flux of reactions corresponding to highly expressed genes must exceed an arbitrarily chosen threshold value and that of lowly expressed genes should be zero [ 31].
We used a binary scale (yes/no).
We use a binary quantile discretization.
Second, construct the Run Length matrices from the binary patterns in a direction 0°. Figure 3 shows an example of a Binary Pattern Run Length matrix using LBP operator.
Simplification can be further developed to consider proteins represented using this binary patterning and to approximate the protein structure prediction problem as two- and three-dimensional lattices.
We can still make use of the uniform pattern which according to [2, 3], is a binary pattern that contains at most two bit-wise transitions from 0 to 1 or vice versa, when the bit pattern is considered circular.
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