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This means, when the probability of position (x, y) is the maximum, set O x, y) = 1, and O x, y) = 2 when the probability of position (x, y) is the second highest, and so forth.
We modelled the probability of position change (%, dependent variable) as a function of seven explanatory variables (fixed effects) accounting for the number of variables (10 12) and for differences in amount of IVE between explanatory variables (Table 4).
The probability of position given just the responses in module i will be a periodic function P i (x ) (green curve).
Analyzing this trade-off requires knowledge of the range, biophysical limits on grid periods, and the degree of ambiguity (the maximum heights of secondary peaks in the probability of position) that can be behaviorally tolerated.
The entropy got highest F-score in position 5 and 6, the base pairing probability and structure got relatively higher scores, especially the probability of position 8 and 9.
(A ) The probability of position x given the responses of all grid cells at scales larger than module i is described by the distribution Q i −1(x ) (black curve), and the uncertainty in position is given by the standard deviation δ i −1.
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This simple algorithm greatly improves the probability of positioning of sensor nodes for a moderate density of anchor nodes.
In this direction, we propose LACFA, a network formation algorithm that increases the probability of positioning of sensors in a cluster-tree topology.
And the probability that there exists at least four visible non-colliding SVs, i.e. the probability of positioning success, P s, is obtained as P s = 1 - p c c = 1 - ∑ k = 0 3 C 8 k 0. 95 9 M k [ 1 - 0. 95 9 M ] 8 - k. (10).
One could fix one interval below and one above the MAP estimate and calculate the summed probability of positioning the node in question in that interval.
(PNG 1820 kb) Additional file 4: Output from omegaMap plotting posterior probability of positive selection against codon position for the wild Australian population.
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