Vadim I. Nazarov

Hi @whitehilltea Thank you for the suggestion! Can you provide an example output of the software tool so we can test the immunarch parser on it please?

Hello @tdfy Thank you! It doesn't seem that these errors are limiting the analysis in any way. However, they are definitely cluttering the space and need to be removed. Thank...

Thank you so much! It would greatly help our small team! We would prefer to have separate issues for separate questions / feature requests and bugs. This was it's much...

Sorry for the pause on this issue, we will look into it on the weekends! @k-blenman can you send us a sample of your datasets as well, so we can...

Hi @aishwaryachander Thank you for using Immunarch! The package is free and open source software, it's supported by our company and a part of our drug development and analytics platform....

Thank you, very helpful! Oh, I know! But we redesigned and will be redesigning the parsers, so having a "gold standard" output file is extremely important here. This is the...

Hi @Blowfish82 Thank you a lot for using the package! 1. The fix is very straightforwrd: use the `.norm = TRUE` argument with `count` to use Proportions 2. Would you...

Hi @Blowfish82 Very helpful, thank you so much! Yes, we definitely can do that, and even streamline the process geneUsage > PCA > Visualisation to make much easier and reduce...

Hi @decenwang Thank you so much for this questions! This is a very important note to have in the documentation. `top` takes the top-N abundant clonotypes by their counts from...

Hi @peter-yufan-zeng Yes, it is possible using the ggplot2 `scale_x_discrete` function. Here is the example using the data from the package ``` data(immdat) p = repDiversity(immdata$data) %>% vis("Status", immdata$meta) p...