DeepLIFT (Deep Learning Important FeaTures)
OTHER / MIT License
Algorithms for computing importance scores in deep neural networks.
Implements the methods in "Learning Important Features Through Propagating Activation Differences" by Shrikumar, Greenside & Kundaje, as well as other commonly-used methods such as gradients, guided backprop and integrated gradients. See https://github.com/kundajelab/deeplift for documentation and FAQ.
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install deeplift
and update with:
conda update deeplift
or use the docker container:
docker pull quay.io/biocontainers/deeplift:<tag>
(see deeplift/tags for valid values for