gwlilabmit / rendseq

rendseq automates analysis of RendSeq data, right now can automatically identify peaks, more features coming soon!
https://gwlilabmit.github.io/rendseq/
MIT License
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[Planning] - What type of generative model should we implement? #1

Open miraep8 opened 2 years ago

miraep8 commented 2 years ago

It would be useful for test cases, and for benchmarking if we had an easy way to generate synthetic data. Not that we want to be too heavily reliant on synthetic data - but it could give us a sense of what the limit of detection might look like in an ideal case and it could also be a good sanity check - ie do the assumption baked into our model fitting actually produce data that looks like what we expect? :)

Here are a few things I thought it would be worth thinking about while we get started:

miraep8 commented 2 years ago

Note - this issue is more intended for brainstorming/planning!! :) Once we decide what we want to implement we can open new issues for the generative model (or models) we want to build!