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Identifying cell types from single-cell data based on similarities and dissimilarities between cells
BACKGROUND: With the development of the technology of single-cell sequence, revealing homogeneity and heterogeneity between cells has become a new area of computational systems biology research. However, the clustering of cell types becomes more complex with the mutual penetration between different...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132444/ https://www.ncbi.nlm.nih.gov/pubmed/34006217 http://dx.doi.org/10.1186/s12859-020-03873-z |