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The accuracy of MixSIH can still be improved with precision up to 0.95 at the expense of deleting about 3/5 of weakly supported pairs from the prediction.
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Precision can be improved with sampling directed by knowledge of the physical structure of the water column, combined with adequate sample replication.
Precision may be improved with the application of the "AND" / "AND NOT" Boolean operators or the addition of clinical content terms or journal subsets using the Boolean AND along with the methodology search filters, but these tactics are likely to compromise sensitivity.
The precision of the sensitivity analyses reported here could be improved with better estimates of the rate of such misclassification.
In this study, we found that although the bias of the CKD-EPI creatinine cystatin C equation was greater than the other creatinine-based equations, the precision was improved with the CKD-EPI creatinine cystatin C equation, leading to slight improvement in accuracy and the optimal scores of performance as well.
Obviously, ( {boldsymbol{Q}}_{overset{check{boldsymbol{b}}overset{check{boldsymbol{b}}}<{boldsymbol{Q}}_{widehat{boldsymbol{b}}widehat{boldsymbol{b}}} ) indicates that the baseline precision is improved with fixed subset of ambiguities.
Precision was improved with the Japanese formula (IQR of the difference, 13.14 mL/min/1.73m of the Japanese formula versus 15.53-23.06 mL/min/1.73m of the other formulae).
Precision was improved with the Japanese formula (interquartile range of the difference, 3.14 mL/min/1.73 m of the Japanese formula versus 15.53 23.06 mL/min/1.73 m of the other formulae).
Among all three subgroups, precision was improved with the Japanese formula (IQR, P < 0.001 for all comparisons), and accuracy with Chinese formula 2 (30% accuracy, P < 0.05 for all comparisons).
When the precision estimates have been improved with other data sets it will be possible to establish guidelines on how low expression levels of mRNA transcripts are detectable in the original sample for a given sample purity, and thus, give advice on the detection abilities of e.g. low-abundant transcription factors and stem cell genes.
These five algorithms are improved with kernel combination and sample reduction to realize higher precision and efficiency.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com