Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-32329-6 |
| _version_ | 1811179159521591296 |
|---|---|
| author | Wei Jiao Gurnit Atwal Paz Polak Rosa Karlic Edwin Cuppen PCAWG Tumor Subtypes and Clinical Translation Working Group Alexandra Danyi Jeroen de Ridder Carla van Herpen Martijn P. Lolkema Neeltje Steeghs Gad Getz Quaid D. Morris Lincoln D. Stein PCAWG Consortium |
| author_facet | Wei Jiao Gurnit Atwal Paz Polak Rosa Karlic Edwin Cuppen PCAWG Tumor Subtypes and Clinical Translation Working Group Alexandra Danyi Jeroen de Ridder Carla van Herpen Martijn P. Lolkema Neeltje Steeghs Gad Getz Quaid D. Morris Lincoln D. Stein PCAWG Consortium |
| author_sort | Wei Jiao |
| collection | DOAJ |
| first_indexed | 2024-04-11T06:30:04Z |
| format | Article |
| id | doaj.art-f3b78c29568a431fbf3f2c59497329d4 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-11T06:30:04Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-f3b78c29568a431fbf3f2c59497329d42022-12-22T04:40:11ZengNature PortfolioNature Communications2041-17232022-12-011311110.1038/s41467-022-32329-6Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patternsWei Jiao0Gurnit Atwal1Paz Polak2Rosa Karlic3Edwin Cuppen4PCAWG Tumor Subtypes and Clinical Translation Working GroupAlexandra Danyi5Jeroen de Ridder6Carla van Herpen7Martijn P. Lolkema8Neeltje Steeghs9Gad Getz10Quaid D. Morris11Lincoln D. Stein12PCAWG ConsortiumComputational Biology Program, Ontario Institute for Cancer ResearchComputational Biology Program, Ontario Institute for Cancer ResearchBroad Institute of MIT and HarvardBioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of ZagrebHartwig Medical FoundationCenter for Molecular Medicine, University Medical Center UtrechtCenter for Molecular Medicine, University Medical Center UtrechtRadboud University Medical CenterDepartment of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center RotterdamDepartment of Medical Oncology, The Netherlands Cancer InstituteBroad Institute of MIT and HarvardVector InstituteComputational Biology Program, Ontario Institute for Cancer Researchhttps://doi.org/10.1038/s41467-022-32329-6 |
| spellingShingle | Wei Jiao Gurnit Atwal Paz Polak Rosa Karlic Edwin Cuppen PCAWG Tumor Subtypes and Clinical Translation Working Group Alexandra Danyi Jeroen de Ridder Carla van Herpen Martijn P. Lolkema Neeltje Steeghs Gad Getz Quaid D. Morris Lincoln D. Stein PCAWG Consortium Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns Nature Communications |
| title | Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| title_full | Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| title_fullStr | Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| title_full_unstemmed | Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| title_short | Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| title_sort | author correction a deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns |
| url | https://doi.org/10.1038/s41467-022-32329-6 |
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