SC3s: efficient scaling of single cell consensus clustering to millions of cells
Abstract Background Today it is possible to profile the transcriptome of individual cells, and a key step in the analysis of these datasets is unsupervised clustering. For very large datasets, efficient algorithms are required to ensure that analyses can be conducted with reasonable time and memory...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-12-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-022-05085-z |