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.

Xehetasun bibliografikoak

Egile Nagusiak:	Helena L. Crowell, Charlotte Soneson, Pierre-Luc Germain, Daniela Calini, Ludovic Collin, Catarina Raposo, Dheeraj Malhotra, Mark D. Robinson
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2020-11-01
Saila:	Nature Communications
Sarrera elektronikoa:	https://doi.org/10.1038/s41467-020-19894-4
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