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GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data
Most methods for inferring gene-gene interactions from expression data focus on intracellular interactions. The availability of high-throughput spatial expression data opens the door to methods that can infer such interactions both within and between cells. To achieve this, we developed Graph Convol...
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| Publicado no: | Genome Biol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7726911/ https://ncbi.nlm.nih.gov/pubmed/33303016 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02214-w |
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