Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.

Mao, Guo; Pang, Zhengbin; Zuo, Ke; Wang, Qinglin; Pei, Xiangdong; Chen, Xinhai; Liu, Jie

Mao, Guo; Pang, Zhengbin; Zuo, Ke; Wang, Qinglin; Pei, Xiangdong; Chen, Xinhai; Liu, Jie.

Afiliación

Mao G; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.
Pang Z; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.
Zuo K; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.
Wang Q; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.
Pei X; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.
Chen X; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.
Liu J; Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, deya, 410073 Changsha, China.

Brief Bioinform ; 24(6)2023 09 22.

Article en En | MEDLINE | ID: mdl-37985457

Asunto(s)

Regulación de la Expresión Génica; Análisis de Expresión Génica de una Sola Célula; Reproducibilidad de los Resultados; Redes Neurales de la Computación; Redes Reguladoras de Genes; Perfilación de la Expresión Génica; Análisis de Secuencia de ARN/métodos

Palabras clave

gene regulatory networks (GRNs); graph convolutional network; graph neural network; link prediction

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Análisis de Expresión Génica de una Sola Célula Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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