Sentence examples similar to any corrections implemented from inspiring English sources

These models, inherited from temperature correction models for robot arms, are based on the empirical arm positioning error characterization of several temperatures inside its measuring range and by posterior corrections implemented using an average error approximation.

The benefit of taking into account these additional parameters as extra first-order corrections (implemented in the same way as the corrections previously detailed) on the ASM vector scale factors has been considered and is illustrated in Figure 12.

This paper was accidentally published without the author's final corrections implemented.

No linkage was observed using the Bonferroni corrections implemented in FSTAT.

These corrections, implemented in iAbaylyiv4, slightly improved the predictive accuracy for mutant phenotypes (94%) while keeping the predictive accuracy for the previous datasets unchanged.

Genome-wide association study (GWAS) provides a way to detect susceptibility of millions of SNPs simultaneously by taking linkage disequilibrium (LD) into account, but the multiple-testing corrections implemented to suppress false positive rate always sacrificed the sensitivity.

Spurious extension of an alignment due to compositional bias is possible but highly unlikely given the composition-based statistical corrections implemented in the current version of BLAST [ 42, 43].

Simulations showed that when GC wave was not present that the Diskin GC-correction implemented in PennCNV actually over-corrected and reduced the accuracy of CNV calls.

All dN an dS estimates were corrected for multiple substitutions using the Jukes-Cantor correction implemented in bioperl [ 36].

As many p-values were generated, we corrected for multiple testing using Benjamin & Hochsberg multiple correction (implemented in fdrtool for R) of all p-values, from the pathways included in the analysis.

Furthermore, the batch effect correction implemented leads to a substantial increase in the sensitivity of statistical tests.