Methods

Open Access
De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironments
View ORCID ProfileJun Woo, View ORCID ProfileBoris J. Winterhoff, View ORCID ProfileTimothy K. Starr, Constantin Aliferis, View ORCID ProfileJinhua Wang Correspondence email
Jun Woo
1Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
2Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
Boris J. Winterhoff
2Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
3Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN, USA
Timothy K. Starr
2Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
3Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN, USA
Constantin Aliferis
1Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
Jinhua Wang
1Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
2Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
Published 2 July 2019. DOI: 10.26508/lsa.201900443
Prediction of cell-type complexity in single-cell RNA-seq
Jun Woo, Boris J. Winterhoff, Timothy K. Starr, Constantin Aliferis, Jinhua Wang
Life Science Alliance Jul 2019, 2 (4) e201900443; DOI: 10.26508/lsa.201900443
In this Issue
Volume 2, No. 4
August 2019
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