MarcoPolo: a clustering-free approach to the exploration of differentially expressed genes along with group information in single-cell RNA-seq data

Chanwoo Kim; Hanbin Lee; Juhee Jeong; Keehoon Jung; Buhm Han

doi:10.1101/2020.11.23.393900

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MarcoPolo: a clustering-free approach to the exploration of differentially expressed genes along with group information in single-cell RNA-seq data

Chanwoo Kim, Hanbin Lee, Juhee Jeong, Keehoon Jung, View ORCID ProfileBuhm Han

doi: https://doi.org/10.1101/2020.11.23.393900

Chanwoo Kim

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea

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Hanbin Lee

2Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

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Juhee Jeong

3Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea

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Keehoon Jung

3Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea

4Department of Anatomy and Cell Biology, Seoul National University College of Medicine, Seoul, Republic of Korea

5Institute of Allergy and Clinical Immunology, Seoul National University Medical Research Center, Seoul, Republic of Korea

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Buhm Han

3Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea

6Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea

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ORCID record for Buhm Han
For correspondence: buhm.han@snu.ac.kr

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Posted January 12, 2021.

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MarcoPolo: a clustering-free approach to the exploration of differentially expressed genes along with group information in single-cell RNA-seq data

Chanwoo Kim, Hanbin Lee, Juhee Jeong, Keehoon Jung, Buhm Han

bioRxiv 2020.11.23.393900; doi: https://doi.org/10.1101/2020.11.23.393900

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MarcoPolo: a clustering-free approach to the exploration of differentially expressed genes along with group information in single-cell RNA-seq data

Chanwoo Kim, Hanbin Lee, Juhee Jeong, Keehoon Jung, Buhm Han

bioRxiv 2020.11.23.393900; doi: https://doi.org/10.1101/2020.11.23.393900

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