Your English writing platform
Discover LudwigExact(4)
For SAM the moderated t-statistic (d score) does not have an associated distribution theory so estimates of reliability are based on empirical FDRs calculated from balanced permutations of samples [20].
Significance of Φ statistics are based on 10,000 permutations of samples.
Empirical distributions of the null hypothesis were then estimated by performing random permutations of samples and then by performing the kernel density estimation (20) to T values and log2-median-ratios resulted from the random permutations.
P values were calculated by performing 1,000 permutations of samples to break their association to expression values, then corrected for multiple comparisons by false discovery rate transformation (FDR), using the qvalue package (jsFDR, version 1.26.0 [ 48]) with a 5% FDR cutoff.
Similar(56)
Statistical significance was assessed using 10,000 permutations of sample labels.
The FDR for these correlations was calculated by performing 1000 permutations of sample IDs while preserving the correlation structure among the gene expression values.
Briefly, for each gene a modified Student's t-test was performed comparing gene expression levels in cell lines from the lowest and the highest deciles of all cell lines' copy number for the same gene; random permutations of sample labels were used to estimate a FDR.
The p-value cutoff and corresponding FDR was calculated by 1,000 permutations of sample age labels.
P values were calculated by 1000 permutations of sample labels and by pooling permutation F values across probes.
We have shown previously that the analytical q-value estimates are similar to those obtained using permutations of sample labels preserving the potential correlative structure between CpGs [ 31].
Computer-assisted pattern analyses of molecular fingerprints of the communities resulted in correlation matrices, which were subjected to significance test by applying permutation tests with 10 random permutations of sample elements (Kropf et al., 2004).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com