De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironments | Life Science Alliance

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Methods

Published 2 July 2019. DOI: 10.26508/lsa.201900443

Article Information

vol. 2 no. 4 e201900443

DOI

https://doi.org/10.26508/lsa.201900443

PubMed

Published By

Life Science Alliance

Online ISSN

History

Received June 24, 2019
Accepted June 24, 2019
Published online July 2, 2019.

Copyright & Usage

© 2019 Woo et al. This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

Author Information

Jun Woo1,2,
Boris J. Winterhoff2,3,
Timothy K. Starr2,3,
Constantin Aliferis1 and
Jinhua Wang1,2 ⇑

¹Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
²Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
³Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN, USA

Correspondence: wangjh{at}umn.edu

Funding

NIH/NCI
5 P30 CA77598
MIH/CTSA
UL1TR002494
Ovarian Cancer Research Fund Alliance: The Liz Tilberis Early Career Investigator Award
458897
University of Minnesota Office of the Vice President of Research Grand Challenges

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Subjects

Cancer