Want to apply #deeplearning in your #regulatory #genomics analyses but overwhelmed by suite of interpretation tools? Check out ExplaiNN: interpretable and transparent neural networks for genomics with @NovakovskyG @ofornes @sara_mostafavi @WyWyWa 🧵👇
biorxiv.org/cgi/content/sh… ExplaiNN is an adaptation of NAMs from @agarwl_ & team for genomic sequences - predictions are a linear combination of independent CNNs- each consisting of 1 conv. layer with a single filter and two FC layers. This seemingly simple approach performs similar to multi-layer CNNs1/6