Hybrid multitask learning reveals sequence features driving specificity in CRISPR/Cas9 system

A count-based and deep learning based study of Cas9 off-target sequences to understand sequence features driving efficacy.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
CRISP-RCNN.ipynb		CRISP-RCNN.ipynb
DeepSHAP.ipynb		DeepSHAP.ipynb
GradExp.ipynb		GradExp.ipynb
LICENSE		LICENSE
README.md		README.md
Saliency.ipynb		Saliency.ipynb
aligner.ipynb		aligner.ipynb
count-based.ipynb		count-based.ipynb
emx1_average.ipynb		emx1_average.ipynb
emx1_avg_saliency.ipynb		emx1_avg_saliency.ipynb
generate_img_from_seq.py		generate_img_from_seq.py
model_tester.ipynb		model_tester.ipynb

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