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Hi there
Thanks for a great package.
I'd like to re-calculate the p-values in the results data frame from the gost() function output, just to verify that I understand them fully.
I understand…
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In addition to the permutation-based feature importance, there is permutation-based p-values for the feature importance (Altmann, A., Tolosi, L., Sander, O. & Lengauer, T. (2010). Permutation importan…
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I fitted some (discrete) data against plfit provided here and the [matlab code provided by the authors of [1]](http://tuvalu.santafe.edu/~aaronc/powerlaws/): I obtain values for p that differ signific…
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Hi,
In order to ensure repdoducability of experiments, it would be useful to be able to set a random seed for the computation of smoothed p-values. In particular when working with small datasets. O…
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Hello! Hope all is well.
I am using both the `enrichGO` and `gseGO` functions. The analyses are going well, but I am uncovering a phenomenon I quite honestly don't understand. I am getting low `p.a…
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Be sure to double check that you read the decimal point correctly. The chi2 value for the membership if they picked up an application should be 0.4325. This translate to 43%, while it looks like you i…
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### 🐛 Describe the bug
Passing this tensor of complex numbers with a large p value to torch.nn.functional.normalize produces nan values on cpu, but eliminating the imaginary part results in 0 in thos…
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Hello,
I recently ran a CARseq analysis, but, I noticed that although some genes have a shrunken log fold change, the p value is NA. The log fold change is also high for these genes (e.g 2.7). My …
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Dear all,
Thank you for this great package.
I was testing how to apply the contrasts you describe in your vignette to my data.
I have a categorical covariate with 3 levels, one of them the refer…
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Dear developers,
It seems that the adjusted p values in the collapsed output was calculated from filtered p values. Shouldn't multiple testing correction be done before filtering p-values with the …