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Here, we briefly recall the scoring of PETfold, which is a maximum expected accuracy scoring method.
The resulting node correspondence scores are then used to predict the maximum expected accuracy (MEA) alignment of the given networks.
The other one is MEA, maximum expected accuracy folding, which is a recent refinement of MFE folding.
When base pair probabilities are computed, the maximum expected accuracy (MEA) structure [ 18, 72] is also available.
Recently, several sophisticated methods have been proposed for predicting the secondary structure with the maximum expected accuracy (MEA) over a space of possible structures.
This is typically referred to as the maximum expected accuracy (MEA) alignment [ 9– 11], and as before, it can be also found through dynamic programming.
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Other than that, the glove performs correctly with expected accuracy.
The expected accuracy in density measurements is 20%.
If maximum parsimony fails to output the correct tree topology, it is given a score of 0. Note that randomly selecting a topology (or a combination of topologies) would have an expected accuracy of 1/3.
We demonstrated (iv) that Pareto optimization allows us to study in depth the relative behaviour of two competing objectives, minimum-free-energy and maximum-expected-accuracy in our application domain.
However, agreement between realised and expected accuracies was weak with the expected accuracy over predicting considerably the realised accuracy.
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