Sentence examples for in a method that corrects from inspiring English sources

An error-correction protocol is then applied for every read group resulting in a method that corrects errors inside the group and produces a corrected consensus read.

Two methods are presented: a statistical method, which considers all test results in determination of explosion severity parameters and a method that corrects the results for differences of turbulence intensity.

In this paper, a simple method that corrects distorted output signal of the excitation device by means of predistortion of its input signal is presented.

Relative gene expression was calculated using the Pfaffl method that corrects for differences in amplification efficiency [ 47].

To estimate breast cancer incidence in the general population using a method that corrects for lack of sensitivity and specificity in the identification of incident breast cancer in inpatient claims data.

Here, we show that by introducing a method that corrects for stochastic noise in Ks, a strong positive correlation between ω and Ks indeed becomes observable in short lineages.

Normalization was conducted using a method that corrects for biases introduced by RNA composition and differences in the total numbers of mapped reads in the two samples [ 40].

Dr. Landau said she did not reject science reflexively over her own experience, but added that she simply cannot reconcile the study's findings with the other information she has collected, like a handwriting study that confirms the notes on the package were in Herbert Matter's hands and evidence that the paintings had been corrected and retouched in a method that Pollock employed.

One recent study reports a method that allows correcting for bleed-through in the context of SMLM (Kim et al. 2013).

The MaSuRCA assembly pipeline first corrected errors in the Illumina reads using QuORUM (Marcais et al. 2013), a method that uses k-mer frequencies and quality scores to correct errors.

Given that heteroscedasticity is common in small samplecross-sectional data, methods that correct for heteroscedasticity are essentialfor prudent data analysis (Long and Ervin, 2000).