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A general XFEM formulation, with tested accuracy and performance, is presented due to its intrinsic capability to handle problems with discontinuities, such as cracks.
We tested accuracy of the validation model with well data from 1986–2007.
We tested accuracy of the SNP calling using sequence data from 16 ecotypes of Arabidopsis thaliana and found that accuracy was high.
We tested accuracy of the GeneID A. mellifera parameter file on an artificial contig consisting of the 431 evaluation-set concatenated gene models with 800 nucleotides of intervening sequence between each of the genes (Table S7 in Additional file 1).
To further test the potential of using 800K for imputing even higher density genotypes (e.g. up to 3 million or whole genome sequence) we tested accuracy of imputing every 10th SNP and 100th SNP by masking these SNP genotypes in 50% of the 825 cows genotyped with 800K using BTA20 as an example.
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However, only pre-test accuracy (t = −3.69, p < 0.001) was a significant predictor.
To test accuracy, reads from diploids were also categorized.
We test accuracy using standard multiple alignment benchmarking methods [ 21, 22].
CV was used to test accuracies within a population and independent validation was used to test accuracies across the populations.
For HLA-B alleles, testing accuracies were generally not as high as others.
The researchers tested the accuracy of recent government statements and found them lacking.
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CEO of Professional Science Editing for Scientists @ prosciediting.com