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https://github.com/Illumina/ExpansionHunterDenovo/blob/998fd79587072153f53d2d4abc4c9f265777518e/scripts/core/common.py#L125-L128
From what I am reading the Bonferroni correction is the pvalue divid…
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I'm running multiple phenotype based analysis, so would like to adjust the significance level with Bonferroni correction. I want both lines are shown in the plot: with and without Bonferroni correctio…
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Need to adjust, or at least think about adjusting, for more than 2 options.
RhysU updated
7 years ago
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Hello Jiabo Wang, there is Ray, I want to know how I get PVE result For each SNP, because the output of PVE file is only for P values
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I am trying to understand the power calculation function power.general.withDoublets. I created 3 reference studies, with low, medium and high fold change values; I expect the power to increase with ev…
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I have following error reporting; any ideas for solving this problem?
```
> monocle_Ne marker_test_res
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I used findmarkers() in Seurat to find DEGs I wonder which is the right metric to use pvalue or adj_pvalue
Flu09 updated
2 weeks ago
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This issue is to report presumed inaccuracies with the Bonferroni correction that is applied to the ICEES+ "association to all features" functionality. Specifically, (1) the correction appears to be a…
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RankPlot() now has two arguments about multiple comparisons:
Bonferroni = c("none", "demi", "full")
and
multcomp.type = c("bonferroni", "independence")
The Bonferroni argument should be renamed …
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Hi Atif,
I'm running through the pipeline with the Earle bacterial data set to make sure I understand all the steps and what they're doing, and when I get to the runHawk stage, the `case_out_w_bonf.k…