muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
oleh: Helena L. Crowell, Charlotte Soneson, Pierre-Luc Germain, Daniela Calini, Ludovic Collin, Catarina Raposo, Dheeraj Malhotra, Mark D. Robinson
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-11-01 |
Deskripsi
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.