Published September 4, 2017
| Version v1
Journal article
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Sampling strategies to capture single-cell heterogeneity
Creators
- 1. UCSF
- 2. UTSW
- 3. University of Arizona, Tuscon
Description
Advances in single-cell technologies have highlighted the prevalence and biological significance of cellular heterogeneity. A critical question is how to design experiments that faithfully capture the true range of heterogeneity from samples of cellular populations. Here, we develop a data-driven approach, illustrated in the context of image data, that estimates the sampling depth required for prospective investigations of single-cell heterogeneity from an existing collection of samples.
This dataset contains the tissue image data needed to reproduce Fig.1.
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Related works
- Is cited by
- 10.1038/nmeth.4427 (DOI)