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The end state probability is then the probability of the logical sum of the minimal cut set probabilities, where each minimal cut set probability is the product of the basic event probabilities that also include dependencies among the basic events.
Consequently, having opted to use the 34plex AIM-SNP assay as the principal system of analysis to obtain ancestry assignments for all seven case samples we interpreted each classification probability with reference to the training set probability range.
7 Thus, one can underestimate the sequence set probability which is induced in a similar way to Eq. (9) because it simply picks one alignment to calculate the sequence set probability without incorporating other possible alignments.
For each sample within the testing data set, probability values were assigned to each possible pair of HLA alleles given a particular haplotype.
The sequence set probability is simply estimated as the number of exact duplicates of the given sequence set divided by n.
Thus, a further analysis using CLUMP, a computer method similar to Chi-square analysis that uses a Monte-Carlo style probabilities rather than a set probability formula was performed.
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We report the means and variances as well as estimated Log sequence set probabilities) under two parameter settings for β and q0 under different reference species.
Knowing those routines means that you can set probabilities for them, and track how they change.
His words seem to apply as well to prediction markets like Intrade, which set probabilities on the actual voting in presidential elections.
The ranking of training set probabilities allowed the range of divergence between populations to be scrutinized and it was then possible to identify a region of the probability plot where assignments carried a higher risk of misclassification error.
A finite set of these trajectories is produced, then, from this finite set, probabilities are estimated (as described in "Methods" section).
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