Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures

Authors

Konstantin Zaitsev, Washington University School of Medicine in St. Louis
Monika Bambouskova, Washington University School of Medicine in St. Louis
Amanda Swain, Washington University School of Medicine in St. Louis
Maxim N. Artyomov, Washington University School of Medicine in St. Louis

Journal

Nature Communications

Publication Date

2019

Volume

10

Issue

1

Inclusive Pages

2209

Document Type

Open Access Publication

DOI

10.1038/s41467-019-09990-5

Rights and Permissions

Zaitsev K, Bambouskova M, Swain A, Artyomov MN. Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures. Nat Commun. 2019 May 17;10(1):2209. doi: 10.1038/s41467-019-09990-5. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Zaitsev, Konstantin; Bambouskova, Monika; Swain, Amanda; and Artyomov, Maxim N., "Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures." Nature Communications. 10, 1. 2209. (2019).
https://digitalcommons.wustl.edu/open_access_pubs/7820