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tidytof: a user-friendly framework for scalable and reproducible high-dimensional cytometry data analysis
SUMMARY: While many algorithms for analyzing high-dimensional cytometry data have now been developed, the software implementations of these algorithms remain highly customized—this means that exploring a dataset requires users to learn unique, often poorly interoperable package syntaxes for each ste...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281957/ https://www.ncbi.nlm.nih.gov/pubmed/37351311 http://dx.doi.org/10.1093/bioadv/vbad071 |