Jeff Spence @jeffspence.github.io · May 30 Overall, many of our models did a pretty job of ranking which guides would drive expression the most, but almost all of that performance came across genes. When trying to predict which guide would have the largest effect on the expression of a particular gene, our results were more mixed.
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This could be explained by a number of things: Maybe differences across genes are more broad-scale and better picked up by our deep learning model, while differences across guides within the same gene are more subtle.