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Dimensionality reduction under scrutiny

Nature Computational Science volume 3, pages 8–9 (2023)Cite this article

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A framework for generating and interpreting dynamic visualizations from traditional static dimensionality reduction visualization methods has been proposed in a recent study.

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Fig. 1: Overview of dynamic visualization of high-dimensional data by bootstrap-sampling-based DynamicViz and variance score.

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Authors and Affiliations

  1. Frazer Institute, The University of Queensland, Brisbane, Australia

    Yang Yang & Di Yu

  2. Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, UK

    Zewen K. Tuong

  3. Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK

    Zewen K. Tuong

  4. Ian Frazer Centre for Children’s Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia

    Di Yu

Authors
  1. Yang Yang
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  2. Zewen K. Tuong
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  3. Di Yu
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Corresponding author

Correspondence to Di Yu.

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Competing interests

Z.K.T. has received consulting fees from Synteny Biotechnologies. The other authors declare no competing interests.

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Yang, Y., Tuong, Z.K. & Yu, D. Dimensionality reduction under scrutiny. Nat Comput Sci 3, 8–9 (2023). https://doi.org/10.1038/s43588-022-00383-1

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