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This paper describes methods designed to deal with DVI problems and a new simulation model to study distribution of likelihoods.
The distribution of likelihoods estimated with LDhat was flat over a broad range of recombination rates (supplementary fig. S1, Supplementary Material online).
The distribution of likelihoods expected from Eqs. (11) and (12) is indicated with a solid line.
Both the p values (assuming a normal distribution of likelihoods) and the Bayes factor, indicating the fold-likelihood that a model fits the data vs. the neutral null-hypothesis, indicate a highly significant association of these GO categories with an ACC [12].
The algorithms generate p values (assuming a normal distribution of likelihoods) and a Bayes factor, indicating the fold-likelihood that a model fits the data vs. the neutral null-hypothesis, to indicate significance of association of GO categories with an ACC [12].
The point of stationarity was determined as the point at which the distribution of likelihoods reached a plateau and trees prior to stationarity were discarded (5000 trees).
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