Deep learning improves the ability of sgRNA off-target propensity prediction.

Liu, Qiaoyue; Cheng, Xiang; Liu, Gan; Li, Bohao; Liu, Xiuqin

Liu, Qiaoyue; Cheng, Xiang; Liu, Gan; Li, Bohao; Liu, Xiuqin.

Afiliación

Liu Q; Department of information and computing science, University of Science and Technology Beijing, Beijing, 100083, China.
Cheng X; Department of information and computing science, University of Science and Technology Beijing, Beijing, 100083, China.
Liu G; Department of information and computing science, University of Science and Technology Beijing, Beijing, 100083, China.
Li B; Department of information and computing science, University of Science and Technology Beijing, Beijing, 100083, China.
Liu X; Department of information and computing science, University of Science and Technology Beijing, Beijing, 100083, China. mathlxq@163.com.

BMC Bioinformatics ; 21(1): 51, 2020 Feb 10.

Article en En | MEDLINE | ID: mdl-32041517

Asunto(s)

Sistemas CRISPR-Cas; Aprendizaje Profundo; Edición Génica; Humanos; ARN/metabolismo

Palabras clave

Deep learning; GloVe model; Off-target; sgRNA

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas CRISPR-Cas / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

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