Evaluating single-cell cluster stability using the Jaccard similarity index

Ming Tang; Yasin Kaymaz; Brandon Logeman; Stephen Eichhorn; ZhengZheng S. Liang; Catherine Dulac; Timothy B. Sackton

doi:10.1101/2020.05.26.116640

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Evaluating single-cell cluster stability using the Jaccard similarity index

Ming Tang, Yasin Kaymaz, Brandon Logeman, Stephen Eichhorn, ZhengZheng S. Liang, Catherine Dulac, Timothy B. Sackton

doi: https://doi.org/10.1101/2020.05.26.116640

Ming Tang

1FAS informatics Group, Harvard University

2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute

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Yasin Kaymaz

1FAS informatics Group, Harvard University

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Brandon Logeman

2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute

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Stephen Eichhorn

3Department of Chemistry, Harvard University

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ZhengZheng S. Liang

2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute

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Catherine Dulac

2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute

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Timothy B. Sackton

1FAS informatics Group, Harvard University

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For correspondence: sackton@g.harvard.edu

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Posted May 29, 2020.

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Evaluating single-cell cluster stability using the Jaccard similarity index

Ming Tang, Yasin Kaymaz, Brandon Logeman, Stephen Eichhorn, ZhengZheng S. Liang, Catherine Dulac, Timothy B. Sackton

bioRxiv 2020.05.26.116640; doi: https://doi.org/10.1101/2020.05.26.116640

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Evaluating single-cell cluster stability using the Jaccard similarity index

Ming Tang, Yasin Kaymaz, Brandon Logeman, Stephen Eichhorn, ZhengZheng S. Liang, Catherine Dulac, Timothy B. Sackton

bioRxiv 2020.05.26.116640; doi: https://doi.org/10.1101/2020.05.26.116640

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