Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlic, Edwin Cuppen, Fatima Al-Shahrour, Peter J. Bailey, Andrew V. Biankin, Paul C. Boutros, Peter J. Campbell, David K. Chang, Susanna L. Cooke, Vikram Deshpande, Bishoy M. Faltas, William C. Faquin, Levi Garraway, Gad Getz, Sean M. Grimmond, Syed Haider, Katherine A. HoadleyVera B. Kaiser, Mamoru Kato, Kirsten Kübler, Alexander J. Lazar, Constance H. Li*, David N. Louis, Adam Margolin, Sancha Martin, Hardeep K. Nahal-Bose, G. Petur Nielsen, Serena Nik-Zainal, Larsson Omberg, Christine P’ng, Marc D. Perry, Esther Rheinbay, Mark A. Rubin, Colin A. Semple, Dennis C. Sgroi, Tatsuhiro Shibata, Reiner Siebert, Jaclyn Smith, Lincoln D. Stein*, Miranda D. Stobbe, Ren X. Sun, Kevin Thai, Derek W. Wright, PCAWG Consortium, PCAWG Tumor Subtypes and Clinical Translation Working Group, David Townend

*Corresponding author for this work

Research output: Contribution to journalErratum / corrigendum / retractionsAcademic

Abstract

In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortiumwere listed in the Supplementary Information; however, these members shouldhave been included in themainpaper.The originalArticle has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. Additional corrections to affiliations and author names have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper.
Original languageEnglish
Article number7573
Number of pages1
JournalNature Communications
Volume13
Issue number1
DOIs
Publication statusPublished - 8 Dec 2022

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