Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods.

Zeng, Xiangxiang; Zhong, Yue; Lin, Wei; Zou, Quan

Zeng, Xiangxiang; Zhong, Yue; Lin, Wei; Zou, Quan.

Afiliación

Zeng X; College of Information Science and Engineering, Hunan University.
Zhong Y; Department of Computer Science, Xiamen University.
Lin W; Department of Computer Science, Xiamen University.
Zou Q; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.

Brief Bioinform ; 21(4): 1425-1436, 2020 07 15.

Article en En | MEDLINE | ID: mdl-31612203

Asunto(s)

Enfermedad/genética; ARN Circular/genética; Biología Computacional/métodos; Humanos

Palabras clave

biological networks; circular RNAs; deep forests; disease; positive-unlabeled learning; topological features

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad / ARN Circular Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article

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