AttCRISPR: a spacetime interpretable model for prediction of sgRNA on-target activity
Abstract 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 interpret...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2021-12-01
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| Saila: | BMC Bioinformatics |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1186/s12859-021-04509-6 |
| Etiketak: |
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