MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network.

Deng, Lei; Liu, Dayun; Li, Yizhan; Wang, Runqi; Liu, Junyi; Zhang, Jiaxuan; Liu, Hui

Deng, Lei; Liu, Dayun; Li, Yizhan; Wang, Runqi; Liu, Junyi; Zhang, Jiaxuan; Liu, Hui.

Afiliación

Deng L; School of Computer Science and Engineering, Central South University, Hunan, 410083, China.
Liu D; School of Computer Science and Engineering, Central South University, Hunan, 410083, China.
Li Y; School of Computer Science and Engineering, Central South University, Hunan, 410083, China.
Wang R; School of Computer Science and Engineering, Central South University, Hunan, 410083, China.
Liu J; Viterbi School of Engineering, University of Southern California, Los Angeles, 90089, USA.
Zhang J; Department of Cognitive Science, University of California San Diego, La Jolla, 92093, USA.
Liu H; School of Computer Science and Technology, Nanjing Tech University, Nanjing, 211816, China. hliu@njtech.edu.cn.

BMC Bioinformatics ; 23(Suppl 3): 427, 2022 Oct 14.

Article en En | MEDLINE | ID: mdl-36241972

Asunto(s)

MicroARNs; ARN Circular; Biología Computacional/métodos; Ontología de Genes; MicroARNs/genética; Redes Neurales de la Computación

Palabras clave

Circrna-disease associations; High-order features; Multi-source data; Neural network

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: MicroARNs / ARN Circular Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

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