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We need to evaluate it first because some of their numbers are a bit suspiciously good (I think it's just because their training data doesn't include a realistic negative set, i.e. their all like nuclear proteins so easier to distinguish than hydrophobins etc.).
I'm sure it's fine but we'll see, especially while it's still un-reviewed.
Deepredeff https://github.com/ruthkr/deepredeff/ has been on my radar for a while, but I haven't gotten around to trying it yet.
We need to evaluate it first because some of their numbers are a bit suspiciously good (I think it's just because their training data doesn't include a realistic negative set, i.e. their all like nuclear proteins so easier to distinguish than hydrophobins etc.).
I'm sure it's fine but we'll see, especially while it's still un-reviewed.
Paper is here: https://www.biorxiv.org/content/10.1101/2020.07.08.193250v1.abstract
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