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I'm not prepared to say "no", and as has been noted already, it depends on the application, but from your description it seems to me more like a task for Bayesi
by etiam 2y ago
I'm not prepared to say "no", and as has been noted already, it depends on the application, but from your description it seems to me more like a task for Bayesian statistics organized on graphs (the nodes & vertices kind).
- btown 2y agoAnd going beyond this: my layman's understanding of biology is that the way in which genes are expressed can be highly nonlinear and modulated by all sorts of different pathways. If you have some clarity on how these pathways work, probabilistic programming might be a helpful tool here in a Bayesian context. It's been a number of years since I've looked at these things, but https://www.theactuary.com/2024/04/04/bayesian-revolution https://www.theactuary.com/2024/04/04/bayesian-revolution and https://arxiv.org/abs/2310.14888 https://arxiv.org/abs/2310.14888 are recent articles that may be relevant.