Sentence examples for the average corrected from inspiring English sources

Exact(10)

Pairwise amino acid and nucleotide distances (based on Poisson-corrected and Tamura-Nei-corrected models, respectively) are given in Additional file 2. The average corrected amino acid and nucleotide distances were 0.143 and 0.203 for the M COX2h+ COX1 region, 0.013 and 0.137 for the F COX2+ COX1 region, and 0.710 and 0.524 for the M COX2e region.

Indeed, considering the percentage of proteins with at least one hit, Gold > Glide and Surflex > FlexX, but considering the average corrected yield of hits, (leftlangle {Y_{C} } rightrangle), Glide > Gold and FlexX > Surflex.

The comparison is based on the three criteria: a, d the percentage of proteins for which at least one hit was found ((T_{h > 0}), Eq. 1), (b, e) the average corrected yield of actives ((leftlangle {Y_{C} } rightrangle), Eq. 4) and (c, f) the percentage of the net balance of proteins (Δp, Eq. 5) for which vSDC is compared to the isolated programs (c) or USC (f).

The average corrected QT interval was significantly shorter in people with alternating hemiplegia than in the disease control group.

To determine candidate regions of genetic heterogeneity or natural variation within the population, the standard deviation from the average corrected log2 ratio of Cy3 (sample) to Cy5 (control) intensities was calculated at each probe position.

When additional genes, VHL (Fig. 5A, lower panel) and Tem8 (data not shown), were examined, the average corrected ratios were close to the expected values for 5 1 RNA but not for 10 1 RNA, suggesting variability of RT efficiency among target genes and needs for further RT improvement.

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Similar(50)

So making sure we get the averages correct.

When the compressed sampling dimension is 1, the average correct recognition rate is low.

Table 1 shows the average correct result for each database of classification.

There are twenty classes of practical plant leaves successfully classified and the average correct classification rate is up to 92.6%.

In the canonical case with equal utility weights for hits and misses and (pi =0.5,) the optimal operating point maximizes the distance between the average correct classification rates and 0.5, the average correct classification rate of an uninformative classifier.

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