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The Future of Genomics Is Not Quite That Mathematical
The ultimate models that are used when you've done all the training, and your the dust settles. The models are very simple. They have an adctive a structure. So it's bas like, i either assign a non zero weight to this particular region in the genum, or i don't. And then I need to know what is the waiting but then the function is a linear function of it's an adactive function of the state genomet some subset of positions. That seems like a very athe, just seem super simple, especially in naro where we have all this machine learning and but it seemed like the were good predictive results out of that. But there's more