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Single-cell measurement quality in bits.

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.

SUBMITTER: Rammohan J

PROVIDER: S-EPMC9371318 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Single-cell measurement quality in bits.

Rammohan Jayan J Sarkar Swarnavo S Ross David D

PloS one 20220811 8

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 be ...[more]

PMID: 35951522

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