Identifying cell types from single-cell data based on similarities and dissimilarities between cells
Abstract 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 di...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-05-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-020-03873-z |