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This frequency is represented by a probability value.
Significant differences are defined is represented by a probability value, p < 0.05.
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Again, we overcome this difficulty by calculating a probability value for each predicted loci pair using the empirical fragment length distribution and reporting the one with highest probability.
The statistical significance of the non-random distribution of LF was determined by calculating a probability value (P-value) for each split 8-mer.
This was done by assigning a probability value to the query instance for its belonging to one of the two target classes.
Therefore, we consider the uncertain biological network as a network in which the proteins are denoted by determinate nodes and the interactions of proteins are denoted by edges with a probability value.
This behavior is realized by firstly calculating a probability value for each solution, then using roulette wheel selection method to choose a food source.
Statistical differences between groups were determined either using the Student's t test or by 2-way ANOVA and, if significant, by Bonferroni posttest, taking a probability value of P < 0.05 as significant.
If | Q L D − Q T true | = 0, then we say that dataset D can be correctly recovered by algorithm A. Given a probability value p, we applied each algorithm to the corresponding 700 datasets, and calculated the total number of datasets that could be correctly recovered, referred to as c.
Each model produces a probability value by backtracking through model states using the Viterbi algorithm.
Each model has four states and produces a probability value by backtracking through model states using the Viterbi algorithm [17].
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