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Describe distributions of EBImage Data #22
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I can do this, and anything related to this! |
Fantastic! 🎉 This is probably most suitably written in R. I would also recommend making some of the code modular. We may want to apply parts of this code to exploring the internal CNN representations trained on single cell images. (e.g. CNN activation layer distributions across targets, UMAP in different layer spaces, etc.) |
I tried to create a folder inside 2.process-data, but it said You’re creating a file in a project you don’t have write access to. Do I follow this process to create a folder for different parts of the analysis pipeline? I'm a little rusty on all things Git and Github, but will try to figure it out! |
Hey @pearsy, |
github can definitely be frustrating at times... I wrote this a couple years ago, and it might be helpful. If it's not, then we can work something else out |
It will be great for some initial data science be applied to the EBImage data features - exploring distributions, identifying sources of variation (PCA, UMAP, etc.), determining MOA heterogeneity, etc.
This can live in the
2.process-data
folder.The text was updated successfully, but these errors were encountered: