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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,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667445/ https://www.ncbi.nlm.nih.gov/pubmed/34903170 http://dx.doi.org/10.1186/s12859-021-04509-6 |