Sentence examples for association of errors from inspiring English sources

Exact(1)

However, a high association of errors with phred score, high relatedness of erroneous sequences with the parental sequence, dominance of specific nt substitutions, and skewed ratio of forward to reverse reads among erroneous sequences indicate approaches to filter erroneous sequences from repertoire data sets.

Similar(59)

Later, the association of error correcting codes with AF and DF protocols showed to considerably increase the performance [6 11], giving rise to what is called coded cooperation.

In order to best investigate the association of genotypic errors with LCL, it is heuristic to compare the LCL and PBMC mismatch rates seen for Nsp and Sty arrays across multiple individuals.

In a post-hoc analysis, airway-related near misses from the ICU did not differ from airway-related near misses occurring outside the ICU in terms of association with human errors, systems errors, technical errors, equipment errors or a poor culture of safety.

Simple linear regression analysis was performed to analyze the association of refractive error, mean spherical equivalent (MSE), astigmatism and anisometropia with each of the study variables, namely gestation, length, weight and head circumference.

The prevalence rate and association of refractive error, peripheral retinal degeneration, and previous intra-ocular surgery with RRD in our study population will be calculated and presented.

Chi-square test was used to determine the association of occurrence of error in DC with the independent variables.

There were few significant associations of reporting errors in the variables considered in this study with childhood social class, educational attainment, adult deprivation and whether the participant's mother was still alive.

We exploited the Rcapture R package [ 44] to estimate the total transcripts population sizes because it allows the association of a standard error to the obtained estimation.

A strong association of aspect with SRTM error was noted, with positive error magnitudes peaking for aspects oriented to the northwest and negative error magnitudes peaking for slopes facing southeast.

The analysis of errors in association discovery showed that false positives were primarily caused by ambiguous gene symbols that could not be excluded in the annotation phase (for example, AP-1 may represent JUN gene or Angelica sinensis polysaccharide 1) and general MeSH disease entry term such as 'Toxicity, Drug' or 'Poisoning'.

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