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A novel metric reveals previously unrecognized distortion in dimensionality reduction of scRNA-Seq data

View ORCID ProfileShamus M. Cooley, View ORCID ProfileTimothy Hamilton, View ORCID ProfileEric J. Deeds, View ORCID ProfileJ. Christian J. Ray
doi: https://doi.org/10.1101/689851
Shamus M. Cooley
1Interdepartmental Program for Bioinformatics, University of California – Los Angeles
3Institute for Quantitative and Computational Biosciences, University of California – Los Angeles
4Center for Computational Biology, University of Kansas – Lawrence
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  • ORCID record for Shamus M. Cooley
Timothy Hamilton
2Department of Integrative Biology and Physiology, University of California – Los Angeles
3Institute for Quantitative and Computational Biosciences, University of California – Los Angeles
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  • ORCID record for Timothy Hamilton
Eric J. Deeds
2Department of Integrative Biology and Physiology, University of California – Los Angeles
3Institute for Quantitative and Computational Biosciences, University of California – Los Angeles
4Center for Computational Biology, University of Kansas – Lawrence
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  • For correspondence: deeds@ucla.edu jjray@ku.edu
J. Christian J. Ray
4Center for Computational Biology, University of Kansas – Lawrence
5Department of Molecular Biosciences, University of Kansas – Lawrence
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  • For correspondence: deeds@ucla.edu jjray@ku.edu
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Posted November 14, 2019.
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A novel metric reveals previously unrecognized distortion in dimensionality reduction of scRNA-Seq data
Shamus M. Cooley, Timothy Hamilton, Eric J. Deeds, J. Christian J. Ray
bioRxiv 689851; doi: https://doi.org/10.1101/689851
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A novel metric reveals previously unrecognized distortion in dimensionality reduction of scRNA-Seq data
Shamus M. Cooley, Timothy Hamilton, Eric J. Deeds, J. Christian J. Ray
bioRxiv 689851; doi: https://doi.org/10.1101/689851

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