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Single-cell measurement quality in bits

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  • Jayan Rammohan
  • Swarnavo Sarkar
  • David Ross

Abstract

Single-cell measurements have revolutionized our understanding of heterogeneity in cellular response. However, there is no universally comparable way to assess single-cell measurement quality. Here, we show how information theory can be used to assess and compare single-cell measurement quality in bits, which provides a universally comparable metric for information content. We anticipate that the experimental and theoretical approaches we show here will generally enable comparisons of quality between any single-cell measurement methods.

Suggested Citation

  • Jayan Rammohan & Swarnavo Sarkar & David Ross, 2022. "Single-cell measurement quality in bits," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-14, August.
    • Handle: RePEc:plo:pone00:0269272
    DOI: 10.1371/journal.pone.0269272
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