A Machine Learning Method for Detecting Autocorrelation of Evolutionary Rates in Large Phylogenies.

2014 ) received very high CorrScores, resulting in extremely significant P values ( P < 0.01).

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First, rate autocorrelation is highly significant for mutational rates (=substitution rate at neutral positions), which are expected to be similar in sister species because they inherit cellular machinery from a common ancestor ( table 1 ).

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