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 language | English |
|---|---|
| Article number | 7573 |
| Journal | Nature Communications |
| Volume | 13 |
| Issue number | 1 |
| DOIs |
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| Publication status | Published - Dec 2022 |
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Dive into the research topics of '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)'. Together they form a unique fingerprint.Research output
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A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
PCAWG Tumor Subtypes and Clinical Translation Working Group, 5 Feb 2020, In: Nature Communications. 11, 1, 12 p., 728.Research output: Contribution to journal › Article › Academic › peer-review
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