Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data.

Huang, Daiyun; Song, Bowen; Wei, Jingjue; Su, Jionglong; Coenen, Frans; Meng, Jia

Huang, Daiyun; Song, Bowen; Wei, Jingjue; Su, Jionglong; Coenen, Frans; Meng, Jia.

Afiliación

Huang D; Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Song B; Department of Computer Science, University of Liverpool, Liverpool L69 7ZB, UK.
Wei J; Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Su J; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Coenen F; Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Meng J; School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.

Bioinformatics ; 37(Suppl_1): i222-i230, 2021 07 12.

Article en En | MEDLINE | ID: mdl-34252943

Asunto(s)

ARN; Programas Informáticos; Algoritmos; Unión Proteica; ARN/genética; ARN/metabolismo; Análisis de Secuencia de ARN; Aprendizaje Automático Supervisado

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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