muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
Single-cell transcriptomics enhanced our ability to profile heterogeneous cell populations. It is not known which statistical frameworks are performant to detect subpopulation-level responses. Here, the authors developed a simulation framework to evaluate various methods across a range of scenarios.
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-19894-4 |