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A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis

Author

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  • Alan E. Murphy

    (UK Dementia Research Institute at Imperial College London
    Department of Brain Sciences, Imperial College London)

  • Nathan G. Skene

    (UK Dementia Research Institute at Imperial College London
    Department of Brain Sciences, Imperial College London)

Abstract

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Suggested Citation

  • Alan E. Murphy & Nathan G. Skene, 2022. "A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35519-4
    DOI: 10.1038/s41467-022-35519-4
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    References listed on IDEAS

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    1. Jordan W. Squair & Matthieu Gautier & Claudia Kathe & Mark A. Anderson & Nicholas D. James & Thomas H. Hutson & Rémi Hudelle & Taha Qaiser & Kaya J. E. Matson & Quentin Barraud & Ariel J. Levine & Gio, 2021. "Confronting false discoveries in single-cell differential expression," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    2. Kip D. Zimmerman & Mark A. Espeland & Carl D. Langefeld, 2021. "A practical solution to pseudoreplication bias in single-cell studies," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
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    Cited by:

    1. Kip D. Zimmerman & Ciaran Evans & Carl D. Langefeld, 2022. "Reply to: A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis," Nature Communications, Nature, vol. 13(1), pages 1-2, December.

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