In this analysis, standard deviations of error in natural log-transformed variables can be interpreted as error CVs in the untransformed concentrations.
A declared error of 0.2 errors/base, applied to data with an actual error of 0.1 errors/base and a low tree scaling (so that nonerror SNPs were rare), caused essentially all of the variable sites to be interpreted as error, resulting in extremely short branch lengths and randomized topologies.
The RCM error can be interpreted as two errors.
In this study, we identified nine samples that concentrated 75% of all the observed MIs, which was interpreted as human errors.
Our approach can be interpreted as approximate error linearization.
The latter might also be interpreted as an error due to abstractions of the real world in order to create a simplified model.
We consequently propose that unexpected sensory input can be interpreted as an error signal to update the synaptic efficiency in the neuronal circuitries in the sensory-motor system subserving motor performance during and following practice.
The difference image can be interpreted as the error between the current pattern and a constant prediction of the previous pattern, and can therefore be seen as the optimal input to cortical areas that can be intrinsically driven or self sustained.
It has been found in thousands of studies that incoming sounds that violate an established regularity evoke mismatch responses that can be interpreted as prediction error signals occurring at different levels along the hierarchy of predictive models.
However, several studies have found that there was only fair to moderate agreement for Ki67 testing between CNB and SRS, and that the κ value was much lower than ER, PR, and HER2 evaluation; this was mainly interpreted as sampling error or tumor heterogeneity [ 11, 12].
