[Note: this list now lives at GitHub, where it will be continuously updated, so please go there instead!]
I’m going to start collecting papers on, and implementations of, deep learning in biology (mostly genomics, but other areas as well) on this page. It’s starting to get hard to keep up! For the purposes of this list, I’ll consider things like single-layer autoencoders, although not literally “deep”, to qualify for inclusion. The categorizations will by necessity be arbitrary and might be changed around from time to time.
Please let me know about the stuff I missed!
A convolutional net that can learn features which are useful for predicting properties of novel molecules; “molecular fingerprints”. The net works on a graph…
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