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The authors use a hierarchical GOP pattern and propose not to carry out the DE in one or more of the highest temporal layers of the hierarchical GOP pattern, since they observed that the percentage of temporal predictions increases with the increment in the temporal layer index.
The level of confidence for functional predictions increases with increasing read-length.
Therefore, the reliability of genomic predictions increases with the size of the reference population (RP) from which the relationship between phenotypes and SNP markers is determined [ 1, 2].
While they may still provide insight in such cases, the uncertainty associated with the resulting predictions increases with the degree of departure from the original conditions.
To evaluate the influence of the available data in a work position, we used a Q2 index in a two state model with a classical relative solvent accessibility threshold of 16%. Figure S2 shows that, as expected, the level of good predictions increases with the occupancy of a work position and is quite satisfying above 8to1010 members per work position.
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It can be seen in Fig. 5 that the yields of propylene from both model predictions increase with the increase in conversion of heavy oil.
We found that the mean of residuals between the data and the model predictions increased with the width of the time window.
As a general trend, accuracy of genomic predictions increased with increasing h and increasing sizes of training sets.
The precision of CBM predictions increase with the availability and accuracy of constraints, as they aid narrowing down the potential solution space to the biologically meaningful system states.
Neglecting the interactions would significantly over-predict the heat transfer rate and the amount of over-prediction increases with operating time.
The accuracy of application prediction increases with the amount of collected data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com