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Describe distributions of EBImage Data #22

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gwaybio opened this issue Nov 18, 2019 · 8 comments
Open

Describe distributions of EBImage Data #22

gwaybio opened this issue Nov 18, 2019 · 8 comments
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enhancement New feature or request good first issue Good for newcomers

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@gwaybio
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gwaybio commented Nov 18, 2019

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.

@gwaybio gwaybio added enhancement New feature or request good first issue Good for newcomers labels Nov 18, 2019
@pearsy
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pearsy commented Dec 10, 2019

I can do this, and anything related to this!

@gwaybio
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gwaybio commented Dec 14, 2019

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.)

@pearsy
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pearsy commented Dec 14, 2019 via email

@pearsy
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pearsy commented Jan 9, 2020

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.
We’ve created a fork of this project for you to commit your proposed changes to.
Submitting a change will create the file in a new branch in your fork, so you can send a pull request.

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!

@wagenrace
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Hey @pearsy,
You do not have writing right to this project itself. The best thing to do is copying it to your own account (creating a fork).
In you own fork you can make the changes, when you're happy with changes you can make a pull request so the changes can be pulled into this project.
Hope this helps

@pearsy
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pearsy commented Jan 9, 2020 via email

@gwaybio
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gwaybio commented Jan 9, 2020

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

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Labels
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