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SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance.
Kim, Hui Kwon; Kim, Younggwang; Lee, Sungtae; Min, Seonwoo; Bae, Jung Yoon; Choi, Jae Woo; Park, Jinman; Jung, Dongmin; Yoon, Sungroh; Kim, Hyongbum Henry.
Afiliação
  • Kim HK; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim Y; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee S; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Min S; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Bae JY; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Choi JW; Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
  • Park J; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jung D; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Yoon S; Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim HH; Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sci Adv ; 5(11): eaax9249, 2019 11.
Article em En | MEDLINE | ID: mdl-31723604
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Guia de Cinetoplastídeos / Sistemas CRISPR-Cas / Proteína 9 Associada à CRISPR / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Adv Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Guia de Cinetoplastídeos / Sistemas CRISPR-Cas / Proteína 9 Associada à CRISPR / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Adv Ano de publicação: 2019 Tipo de documento: Article