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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...
Kaydedildi:
| Yayımlandı: | BMC Bioinformatics |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2021
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| Konular: | |
| Online Erişim: | 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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