Cargando…
SwiftReg cluster registration automatically reduces flow cytometry data variability including batch effects
Biological differences of interest in large, high-dimensional flow cytometry datasets are often obscured by undesired variations caused by differences in cytometers, reagents, or operators. Each variation type requires a different correction strategy, and their unknown contributions to overall varia...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205614/ https://www.ncbi.nlm.nih.gov/pubmed/32382076 http://dx.doi.org/10.1038/s42003-020-0938-9 |