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Tutorial: Fast SCENIC GRN Analysis with RegDiffusion

Hey, I just want to share a tutorial on running GRN analysis and downstream AUCell umaps and do some self-advertisement on a tool we recently developed. I'm sharing it here because I saw some posts complaining about the speed issue that we think we have resolved.

Here is the link to the tutorial: https://tuftsbcb.github.io/RegDiffusion/downstream_with_pyscenic.html.

Basically, by replacing the grnboost step with regdiffusion, we can significantly reduce the computation time (hours/days -> minutes/seconds). The AUCell umap results are also much better compared with standard dimension reduction pipeline.

comparisons on umaps

Check it out! Feel free to reach out with any questions.

grn network scrna-seq wgcna

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