Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach

Metri, R, Mohan, A, Nsengimana, J et al. (5 more authors) (2017) Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach. Scientific Reports, 7. 17314. ISSN 2045-2322

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Copyright, Publisher and Additional Information: © 2017, Author(s). 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: 10 November 2017
  • Published (online): 11 December 2017
  • Published: 11 December 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Epidemiology and Biostatistics (Leeds)
Funding Information:
FunderGrant number
Cancer Research UKC588/A4994
Depositing User: Symplectic Publications
Date Deposited: 16 Nov 2017 13:45
Last Modified: 23 Jun 2023 22:39
Status: Published
Publisher: Nature Publishing Group
Identification Number: https://doi.org/10.1038/s41598-017-17330-0

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