scQUEST: Quantifying tumor ecosystem heterogeneity from mass or flow cytometry data

With mass and flow cytometry, millions of single-cell profiles with dozens of parameters can be measured to comprehensively characterize complex tumor ecosystems. Here, we present scQUEST, an open-source Python library for cell type identification and quantification of tumor ecosystem heterogeneity...

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Detalles Bibliográficos
Autores principales: Martinelli, Adriano Luca, Wagner, Johanna, Bodenmiller, Bernd, Rapsomaniki, Maria Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307583/
https://www.ncbi.nlm.nih.gov/pubmed/35880127
http://dx.doi.org/10.1016/j.xpro.2022.101578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307583/
https://www.ncbi.nlm.nih.gov/pubmed/35880127
http://dx.doi.org/10.1016/j.xpro.2022.101578

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