Your English writing platform
Discover LudwigExact(8)
In this article, we report a simple and novel method to shrink nanopores using direct thermal heating.
An empirical Bayes method to shrink the probe-wise sample variances towards a common value was utilised.
To facilitate the application of NB-GLMs to experiments with small numbers of replicates, DESeq2 uses an Empirical Bayes method to shrink (and stabilize) its estimates of dispersion and effect size parameters.
aNumber of microarray elements determined to be significant on the array using the empirical Bayes method to shrink the gene-wise error estimate in cadmium treated vs. control Daphnia pulex (P < 0.05).
A moderated t statistic was computed using an empirical Bayes method to shrink the probe-wise sample variances towards a common value and to augment the degrees of freedom for individual variances [ 40].
P-values for each method were calculated by the moderated F-statistic which stabilizes the gene-specific variance using an empirical Bayes method to shrink the probe-wise sample variances toward a common value and to augment the degrees of freedom for the individual variances [ 35].
Similar(52)
Another back of the envelope method is to shrink the browser window.
11 14 The simplest method is to shrink the regression coefficients by a common factor for example, 20%—after they have been estimated by standard regression.
Hence, one of the popular wavelet domain denoising methods is to shrink the coefficients by thresholding [1, 2], i.e., the coefficients under a certain magnitude are treated as nonsignificant and are set to zero, while the remaining significant ones are kept unmodified (hard-thresholding) or their magnitudes are reduced (soft-thresholding).
To improve the stability and accuracy of these variance estimates there have been many methods proposed to shrink the variances to some common value for microarrays [ 12] and RNA-Seq [ 1].
The empirical Bayes method was used to shrink the gene-wise sample variances towards common values, thus augmenting the degrees of freedom for the individual variances.
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