TransCrispr: Transformer Based Hybrid Model for Predicting CRISPR/Cas9 Single Guide RNA Cleavage Efficiency
Author:
Affiliation:
1. School of Computer Science and Technology, East China Normal University, Shanghai, China
Funder
National Key R&D Program of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/10091711/09866850.pdf?arnumber=9866850
Reference46 articles.
1. LSTM neural networks for language modeling
2. ACME: pan-specific peptide–MHC class I binding prediction through attention-based deep neural networks
3. Nucleosomes Inhibit Cas9 Endonuclease Activity in Vitro
4. RNA-guided editing of bacterial genomes using CRISPR-Cas systems
5. C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks
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