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From reads with 0.15% to 1.5% errors, a decrease in accuracy of 9% was observed, which is also a smaller accuracy drop than measured for metagenomic gene prediction tools.
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In addition, the range of benefit values under which the turn-taking strategy evolves increase with increasing observation errors, a decreasing number of contest rounds and an increasing number of individuals per group.
All types of data errors exhibited a decrease after training.
The enhancement in chloride channel dysfunction in Mbnl1 ΔE3/ΔE3/mice3 ΔE2 mice does not result from an increase in the severity of Clc-1 RNA splice errors, a further decrease in Clc-1 RNA steady-state levels, altered polyA start sites or Clc-1 mislocalization when compared with Mbnl1 ΔE3/ΔE3 animals, but rather from Clc-1 mRNA translation defects.
We found a significant reviewer learning/fatigue effect (P=0.009) in the review of prescribing errors, with a decreasing rate of error detection with time of review; this was controlled for in the analysis.
Generally, for a fixed acceptable error rate, a decrease in the cursor duration leads to a decrease in average entry time.
Inclusion of incorrect data in genetic analysis can lead to an inflation in genetic map distances [43], an increase in type I error and/or a decrease in statistical power in association studies [44], [45], or to biased estimates of linkage disequilibrium [46] and other allele-frequency related parameters [47].
This increase in error causes a decrease in true effects and is known as regression dilution (MacMahon et al. 1990).
Results With the improvements proposed, a significant enhancement in CT synthesis, which results in a reduced absolute error and a decrease in the bias when reconstructing PET images, was observed.
For three of the five categories of pathway errors, there was a decrease in total number of resident errors.
Sequencing errors lead to a decrease in gene prediction accuracy, though.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com