Heterogeneous graph embedding model for predicting interactions between TF and target gene.

Huang, Yu-An; Pan, Gui-Qing; Wang, Jia; Li, Jian-Qiang; Chen, Jie; Wu, Yang-Han

Huang, Yu-An; Pan, Gui-Qing; Wang, Jia; Li, Jian-Qiang; Chen, Jie; Wu, Yang-Han.

Affiliation

Huang YA; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
Pan GQ; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
Wang J; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
Li JQ; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
Chen J; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
Wu YH; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.

Bioinformatics ; 38(9): 2554-2560, 2022 04 28.

Article de En | MEDLINE | ID: mdl-35266510

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Facteurs de transcription / Logiciel Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Bioinformatics Sujet du journal: INFORMATICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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