Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns (Nature Communications, (2020), 11, 1, (728), 10.1038/s41467-019-13825-8)
Publication date
2022-12
Authors
Jiao, Wei
Atwal, Gurnit
Polak, Paz
Karlic, Rosa
Cuppen, Edwin
Getz, Gad
Danyi, Alexandra
de Ridder, Jeroen
Lolkema, Martijn P.
Steeghs, Neeltje
Editors
Advisors
Supervisors
Document Type
Comment
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cc_by
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.
Keywords
General Chemistry, General Biochemistry,Genetics and Molecular Biology, General Physics and Astronomy
Citation
Jiao, W, Atwal, G, Polak, P, Karlic, R, Cuppen, E, Getz, G, Danyi, A, de Ridder, J, Lolkema, M P, Steeghs, N, PCAWG Tumor Subtypes and Clinical Translation Working Group & PCAWG Consortium 2022, 'Author Correction : A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns (Nature Communications, (2020), 11, 1, (728), 10.1038/s41467-019-13825-8)', Nature Communications, vol. 13, no. 1, 7573. https://doi.org/10.1038/s41467-022-32329-6