Nature Communications (Dec 2022)
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,
- 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
Affiliations
- Wei Jiao
- Computational Biology Program, Ontario Institute for Cancer Research
- Gurnit Atwal
- Computational Biology Program, Ontario Institute for Cancer Research
- Paz Polak
- Broad Institute of MIT and Harvard
- Rosa Karlic
- Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb
- Edwin Cuppen
- Hartwig Medical Foundation
- PCAWG Tumor Subtypes and Clinical Translation Working Group
- Alexandra Danyi
- Center for Molecular Medicine, University Medical Center Utrecht
- Jeroen de Ridder
- Center for Molecular Medicine, University Medical Center Utrecht
- Carla van Herpen
- Radboud University Medical Center
- Martijn P. Lolkema
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam
- Neeltje Steeghs
- Department of Medical Oncology, The Netherlands Cancer Institute
- Gad Getz
- Broad Institute of MIT and Harvard
- Quaid D. Morris
- Vector Institute
- Lincoln D. Stein
- Computational Biology Program, Ontario Institute for Cancer Research
- PCAWG Consortium
- DOI
- https://doi.org/10.1038/s41467-022-32329-6
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 1
Abstract
No abstracts available.