Protein structure prediction (admittedly, humans are surprisingly good at this, but AlphaFold is better)
Protein folding problems are cool and all, but as a computational biologist, I do think people underrate simpler ML models on a variety of problems. Researchers have to make a lot of decisions—such as which hits to follow up on in a high throughput screen. The data to inform these kinds of tasks can be expressed as tabular data and decision trees can perform quite well!
Protein folding problems are cool and all, but as a computational biologist, I do think people underrate simpler ML models on a variety of problems. Researchers have to make a lot of decisions—such as which hits to follow up on in a high throughput screen. The data to inform these kinds of tasks can be expressed as tabular data and decision trees can perform quite well!
Got Any examples of this being used? I’m always on the lookout for these kind of usecases.