Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey.

Ou-Yang, Le; Lu, Fan; Zhang, Zi-Chao; Wu, Min

Ou-Yang, Le; Lu, Fan; Zhang, Zi-Chao; Wu, Min.

Afiliación

Ou-Yang L; Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, and Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, China.
Lu F; Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen,518172, China.
Zhang ZC; Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, and Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, China.
Wu M; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.

Brief Bioinform ; 23(1)2022 01 17.

Article en En | MEDLINE | ID: mdl-34864871

Asunto(s)

Análisis de Datos; Análisis de la Célula Individual; Análisis de Secuencia de ARN/métodos; Análisis de la Célula Individual/métodos; Secuenciación del Exoma

Palabras clave

biomedical network; data imputation; link prediction; matrix factorization; scRNA-seq data

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Análisis de Datos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

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