Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks

Discovering gene regulatory relationships and reconstructing gene regulatory networks (GRN) based on gene expression data is a classical, long-standing computational challenge in bioinformatics. Computationally inferring a possible regulatory relationship between two genes can be formulated as a lin...

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Detalles Bibliográficos
Autores principales: Wang, Juexin, Ma, Anjun, Ma, Qin, Xu, Dong, Joshi, Trupti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677691/
https://www.ncbi.nlm.nih.gov/pubmed/33294129
http://dx.doi.org/10.1016/j.csbj.2020.10.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677691/
https://www.ncbi.nlm.nih.gov/pubmed/33294129
http://dx.doi.org/10.1016/j.csbj.2020.10.022

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