Capturing single-cell heterogeneity via data fusion improves image-based profiling

Single-cell resolution technologies warrant computational methods that capture cell heterogeneity while allowing efficient comparisons of populations. Here, we summarize cell populations by adding features’ dispersion and covariances to population averages, in the context of image-based profiling. W...

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Detalles Bibliográficos
Autores principales: Rohban, Mohammad H., Abbasi, Hamdah S., Singh, Shantanu, Carpenter, Anne E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504923/
https://www.ncbi.nlm.nih.gov/pubmed/31064985
http://dx.doi.org/10.1038/s41467-019-10154-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504923/
https://www.ncbi.nlm.nih.gov/pubmed/31064985
http://dx.doi.org/10.1038/s41467-019-10154-8

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