Disease relevance and replicability of deep learning gene expression prediction
Recent deep learning (DL) models predict average gene expression levels from DNA sequences with high overall correlation to measured values. We examine these DL models through the lens of disease research. The seemingly high overall performance of DL models is largely due to capturing whether genes are "On" or "Off", and to a lesser extent, disease-relevant expression level changes for "On"…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
