Sampling strategies to capture single-cell heterogeneity
Satwik Rajaram1, Louise E Heinrich1, John D Gordan2,3
1Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
Nature Methods
|September 5, 2017
Abstract:
Advances in single-cell technologies have highlighted the prevalence and biological significance of cellular heterogeneity. A critical question researchers face 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.
