Sentence examples for making corrections for from inspiring English sources
In several cases, the correct CDSs were only found after making corrections for missed ORFs, incorrect start codons, frame shifts, etc (see additional files 1, 2).
These correlations were significant even when making corrections for multiple comparisons by performing bootstrap calculations in SPSS v. 23: the bias-corrected 95%% confidence intervals for the Pearson correlation coefficient for log10As were 0.18 0.59 and for log10S −0.04 to −0.60.
Satellite tracking of day migrating raptors such as ospreys and honey buzzards has shown that older individuals are better at making corrections for wind drift.
For the combined population samples, before making corrections for undercounts in the source data, we obtained an estimate of 7.8 kya for the most recent common ancestor of the C11 + D4 haplotype combination (Table 3).
Using the obtained binormal mixture model a direct estimate of the true seroprevalence per age category was obtained, making correction for sensitivity and specificity unnecessary.
Most data sets utilized in the study of hereditary diseases are constructed around probands, making correction for ascertainment bias necessary; this set of data is no exception.
He bitterly recalled the youthful ardor that had driven the writing of "Democracy in America," which he no longer even looked at except to make corrections for reprints.
The WinRHIZO system is unlike other image analysis systems in that it can detect, and make corrections for, areas of root overlap.
Other directions include developing an optimal way to make corrections for multiple testing in settings where there are potentially more covariates (SNPs) than observations.
Harris et al. (2011) made corrections for the topographic effect on the heat flow values obtained at IODP holes and showed that the correction could be as high as +16% at Site C0006 (Figure 2).
Since these features are in general sensitive to the orientation and scaling of the leaf image, a pre-processing stage prior to feature extraction is applied to make corrections for varying translation, rotation and scaling factors.
