INFLECT: an R-package for cytometry cluster evaluation using marker modality

BACKGROUND: Current methods of high-dimensional unsupervised clustering of mass cytometry data lack means to monitor and evaluate clustering results. Whether unsupervised clustering is correct is typically evaluated by agreement with dimensionality reduction techniques or based on benchmarking with...

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Detalles Bibliográficos
Autores principales: Verhoeff, Jan, Abeln, Sanne, Garcia-Vallejo, Juan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670405/
https://www.ncbi.nlm.nih.gov/pubmed/36384426
http://dx.doi.org/10.1186/s12859-022-05018-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670405/
https://www.ncbi.nlm.nih.gov/pubmed/36384426
http://dx.doi.org/10.1186/s12859-022-05018-w

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