Quantifying the clusterness and trajectoriness of single-cell RNA-seq data

Hong Seo Lim; Peng Qiu

doi:10.1371/journal.pcbi.1011866

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Open Access

Peer-reviewed

Quantifying the clusterness and trajectoriness of single-cell RNA-seq data

Hong Seo Lim,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America
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Peng Qiu

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft

* E-mail: peng.qiu@bme.gatech.edu

Affiliation Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America

https://orcid.org/0000-0003-3256-0734

⨯

Quantifying the clusterness and trajectoriness of single-cell RNA-seq data

Hong Seo Lim,
Peng Qiu

Published: February 28, 2024
https://doi.org/10.1371/journal.pcbi.1011866

About the Authors

Hong Seo Lim

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America

Peng Qiu

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft

* E-mail: peng.qiu@bme.gatech.edu

Affiliation Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America

https://orcid.org/0000-0003-3256-0734

Competing Interests

The authors have declared that no competing interests exist.

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