Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer

Care, MA orcid.org/0000-0001-6584-5889, Westhead, DR orcid.org/0000-0002-0519-3820 and Tooze, RM orcid.org/0000-0003-2915-7119 (2019) Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer. npj Systems Biology and Applications, 5. 13. ISSN 2056-7189

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2019. 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/.
Dates:
  • Accepted: 18 March 2019
  • Published (online): 11 April 2019
  • Published: 11 April 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Experimental Haematology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 01 May 2019 13:01
Last Modified: 01 May 2019 13:01
Status: Published
Publisher: Nature Research
Identification Number: https://doi.org/10.1038/s41540-019-0090-7

Share / Export

Statistics