Learning representations for gene ontology terms by jointly encoding graph structure and textual node descriptors.

Zhao, Lingling; Sun, Huiting; Cao, Xinyi; Wen, Naifeng; Wang, Junjie; Wang, Chunyu

Zhao, Lingling; Sun, Huiting; Cao, Xinyi; Wen, Naifeng; Wang, Junjie; Wang, Chunyu.

Afiliación

Zhao L; Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.
Sun H; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Cao X; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Wen N; College of Electromechanical and Information Engineering, Dalian Minzu University, Dalian 116600, China.
Wang J; Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Wang C; Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.

Brief Bioinform ; 23(5)2022 09 20.

Article en En | MEDLINE | ID: mdl-35901452

Asunto(s)

Biología Computacional; Semántica; Biología Computacional/métodos; Ontología de Genes; Metadatos

Palabras clave

graph contrastive learning; ontology term; representation learning; semantic similarity

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Biología Computacional 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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