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* Multinomial Convolutions for Joint Modeling of Regulatory Motifs and Sequence Activity Readouts *
We propose to learn convolutions as multinomial distributions, thus streamlining interpretable motif discovery with CNN model fitting.
This paper is published at MDPI genes (https://www.mdpi.com/2073-4425/13/9/1614)
To get a local copy up and running follow these simple steps.
Install conda environment
conda env create -f environment.yml
conda activate museam
Running model on default (liver enhancer) data.
python train.py -t regression
Distributed under the MIT License. See LICENSE
for more information.
Minjun Park: minjunp3@gmail.com