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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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| Publicado no: | Comput Struct Biotechnol J |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Research Network of Computational and Structural Biotechnology
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7677691/ https://ncbi.nlm.nih.gov/pubmed/33294129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.10.022 |
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