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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...
Autores principales: | Rohban, Mohammad H., Abbasi, Hamdah S., Singh, Shantanu, Carpenter, Anne E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
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 |
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