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Open Access Publications from the University of California

Sampling strategies to capture single-cell heterogeneity.

  • Author(s): Rajaram, Satwik
  • Heinrich, Louise E
  • Gordan, John D
  • Avva, Jayant
  • Bonness, Kathy M
  • Witkiewicz, Agnieszka K
  • Malter, James S
  • Atreya, Chloe E
  • Warren, Robert S
  • Wu, Lani F
  • Altschuler, Steven J
  • et al.

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.

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