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Single-cell classification using graph convolutional networks
BACKGROUND: Analyzing single-cell RNA sequencing (scRNAseq) data plays an important role in understanding the intrinsic and extrinsic cellular processes in biological and biomedical research. One significant effort in this area is the identification of cell types. With the availability of a huge amo...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8268184/ https://ncbi.nlm.nih.gov/pubmed/34238220 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04278-2 |
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