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Integrating scRNA-seq data of multiple donors increases cell-type identification accuracy
Hanbin Lee, Chanwoo Kim, Juhee Jeong, Keehoon Jung, Buhm Han
doi: https://doi.org/10.1101/2020.09.17.301911
Hanbin Lee
1Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
Chanwoo Kim
2Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
Juhee Jeong
3Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea
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
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
Posted September 19, 2020.
Integrating scRNA-seq data of multiple donors increases cell-type identification accuracy
Hanbin Lee, Chanwoo Kim, Juhee Jeong, Keehoon Jung, Buhm Han
bioRxiv 2020.09.17.301911; doi: https://doi.org/10.1101/2020.09.17.301911
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