AttCRISPR: a spacetime interpretable model for prediction of sgRNA on-target activity

AttCRISPR: a spacetime interpretable model for prediction of sgRNA on-target activity

Background: More and more Cas9 variants with higher specificity are developed to avoid the off-target effect, which brings a significant volume of experimental data. Conventional machine learning performs poorly on these datasets, while the methods based on deep learning often lack interpretability,...

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Bibliographic Details
Main Authors: Jiang, Z.-R (Author), Wan, Y.-Q (Author), Xiao, L.-M (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Attention mechanism
Attention mechanisms
CRISPR
CRISPR Cas system
CRISPR-Cas Systems
Deep learning
Economic and social effects
genetics
guide RNA
High specificity
Interpretability
Learning-based methods
machine learning
Machine Learning
RNA
RNA, Guide
sgRNA design
Short guide RNA design
Spacetime
Target activity
Trade off
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