Predicting miRNA-lncRNA interactions on plant datasets based on bipartite network embedding method.

Zhuo, Linlin; Pan, Shiyao; Li, Jing; Fu, Xiangzheng

Zhuo, Linlin; Pan, Shiyao; Li, Jing; Fu, Xiangzheng.

Afiliación

Zhuo L; School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang 325035, China.
Pan S; School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang 325035, China. Electronic address: mayspan@163.com.
Li J; School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang 325035, China.
Fu X; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410012, China. Electronic address: fxz326@hnu.edu.cn.

Methods ; 207: 97-102, 2022 11.

Article en En | MEDLINE | ID: mdl-36155251

Asunto(s)

MicroARNs; ARN Largo no Codificante; ARN Largo no Codificante/genética; MicroARNs/genética; Biología Computacional/métodos; Algoritmos

Palabras clave

Bipartite graph; Link prediction; Network embedding; miRNA-lncRNA interactions

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: MicroARNs / ARN Largo no Codificante Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google