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Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah A. Wala, Ofer Shapira, Grace Tiao, Julian M. Hess, Randi Istrup Juul, Radhakrishnan Sabarinathan, Jaegil Kim, Andrés Lanzós, Yosef E. Maruvka, Samirkumar B. Amin, Pratiti Bandopadhayay, John Busanovich, Joana Carlevaro-Fita, Calvin Wing Yiu Chan, David Craft, Priyanka Dhingra, Abel González-Pérez, Nicholas J. Haradhvala, Chen Hong, Keren Isaev, Todd A. Johnson, Malene Juul, André Kahles, Young-Wook Kim, Jan Komorowski, Kiran A. Kumar, Sushant Kumar, Donghoon Lee, Yilong Li, Eric Minwei Liu, Lucas Lochovsky, Keunchil Park, Oriol Pich, Nicola D. Roberts, Steven E. Schumacher, Nasa Sinnott-Armstrong, Chip Stewart, David Tamborero, José M. C. Tubío, Husen M. Umer, Liis Uusküla-Reimand, Claes Wadelius, Xiaotong Yao, Cheng‐Zhong Zhang, Jing Zhang, Asger Hobolth, Marcin Imieliński, Manolis Kellis, Michael S. Lawrence, Christian von Mering, Hidewaki Nakagawa, Benjamin J. Raphael, Mark A. Rubin, Chris Sander, Joshua M. 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Imbusch, Seiya Imoto, William B. Isaacs, Shumpei Ishikawa, Murat Iskar, S. M. Ashiqul Islam, Michael Ittmann, Sinisa Ivkovic, Jocelyne Jacquemier, Valerie Jakrot, Nigel B. Jamieson, Gun Ho Jang, Se Jin Jang, Joy C. Jayaseelan, Reyka G. Jayasinghe, Karine Jegalian, Jennifer L. Jennings, Seung-Hyup Jeon, Lara Jerman, Yuan Ji, Wei Jiao, Peter A. Johansson, Amber L. Johns, Jeremy Johns, Clemency Jolly, Yann Joly, Jón G. Jónasson, Corbin D. Jones, David R. Jones, Nic Jones, Steven J.M. Jones, Jos Jonkers, Hartmut Juhl, Jongsun Jung, Natalie Jäger, Rolf Kabbe, Abdullah Kahraman, Vera B. Kaiser, Hojabr Kakavand, Sangeetha Kalimuthu, Christof von Kalle, Koo Jeong Kang, Katalin Karászi, Beth Y. Karlan, Rosa Karlić, Dennis Karsch, Karin S. Kassahn, Hitoshi Katai, Mamoru Kato, Hiroto Katoh, Yoshiiku Kawakami, Jonathan D. Kay, Stephen H. Kazakoff, Maria Keays, Electron Kebebew, Richard Kefford, James G. Kench, Catherine J. Kennedy, Jules N. A. 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Lazar, Ana Mijalkovic Lazic, Xuan Le, Darlene Lee, Hee Jin Lee, Jeong‐Yeon Lee, Ju‐Hee Lee, Ming Ta Michael Lee, Henry Lee-Six, Hans Lehrach, Dido Lenze, Conrad Leonard, Daniel Leongamornlert, Ignaty Leshchiner, Louis Létourneau, Ivica Letunić, Douglas A. Levine, Lora Lewis, Tim Ley, Constance H. Li, Haiyan Irene Li, Jun Li, Lin Li, Siliang Li, Xiaobo Li, Xinyue Li, Han Liang, Sheng‐Ben Liang, Peter Lichter, Pei Lin, W. M. Linehan, Ole Christian Lingjærde, Dongbing Liu, Fei-Fei Fei Liu, Fenglin Liu, Jia Liu, Xingmin Liu, Julie Livingstone, Dimitri Livitz, Naomi Livni, Markus Loeffler, Georgina V. Long, Armando López‐Guillermo, David N. Louis, Laurence Lovat, Yiling Lu, Yong‐Jie Lu, Youyong Lu, Claudio Luchini, Ilinca M. Lungu, Xuemei Luo, Hayley J. Luxton, Lisa Lype, Cristina López, Carlos López-Otı́n, Z. Eric, Yussanne Ma, Gaëtan MacGrogan, Shona MacRae, Tobias Madsen, Kazuhiro Maejima, Andrea Mafficini, Dennis T. Maglinte, Arindam Maitra, Partha P. 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Mitchell, Naoki Miyoshi, Shinichi Mizuno, Fruzsina Molnár‐Gábor, Malcolm J. Moore, Richard A. Moore, Sandro Morganella, Quaid Morris, Lisle E. Mose, Catherine D. Moser, Andrew J. Mungall, Karen Mungall, Elizabeth A. Musgrove, Ville Mustonen, David G. Mutch, Francesc Muyas, Donna M. Muzny, Alfonso Muñoz, Jerome Myers, Ola Myklebost, Peter Möller, Genta Nagae, Adnan Nagrial, Hardeep K. Nahal-Bose, Hitoshi Nakagama, Hiromi Nakamura, Tõru Nakamura, Kaoru Nakano, Tannistha Nandi, Jyoti Nangalia, Mia Nastic, Arcadi Navarro, David E. Neal, Gerd Nettekoven, Felicity Newell, Steven Newhouse, Yulia Newton, Alvin Wei Tian Ng, Anthony Ng, Jonathan Nicholson, David M. Nicol, Yongzhan Nie, G. Petur Nielsen, Serena Nik‐Zainal, Michael S. Noble, Kátia Nones, Paul A. Northcott, Faiyaz Notta, Brian D. O’Connor, Peter H. O’Donnell, Maria O’Donovan, Sarah O’Meara, Brian Patrick O’Neill, J. Robert O’Neill, David Ocaña, Angelica Ochoa, Layla Oesper, Christopher Ogden, Hideki Ohdan, Kazuhiro Ohi, Lucila Ohno‐Machado, Karin A. Oien, Akinyemi I. Ojesina, Hidenori Ojima, Takuji Okusaka, Larsson Omberg, Choon Kiat Ong, Stephan Ossowski, German Ott, B. F. Francis Ouellette, Christine P’ng, Salvatore Paiella, Chawalit Pairojkul, Marina Pajic, Qiang Pan‐Hammarström, Elli Papaemmanuil, Irene Papatheodorou, Nagarajan Paramasivam, Ji Wan Park, Joong‐Won Park, Joel S. Parker, Simon L. Parsons, Harvey I. Pass, Danielle Pasternack, Alessandro Pastore, Ann‐Marie Patch, Iris Pauporté, Antonio Pea, Chandra Sekhar Pedamallu, Paolo Pederzoli, Martin Peifer, Nathan A. Pennell, Charles M. Perou, Marc D. Perry, Gloria M. Petersen, Myron Peto, Nicholas J. Petrelli, Robert Petryszak, Stefan M. Pfister, Mark Phillips, Hilda A. Pickett, Todd Pihl, Nischalan Pillay, Sarah Pinder, Mark Pinese, Andreia V. 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Weisenberger, Ian Welch, Michael C. Wendl, Johannes Werner, Justin P. Whalley, Hayley C. Whitaker, Dennis A. Wigle, Matthew D. Wilkerson, Ashley Williams, James S. Wilmott, Gavin W. Wilson, Julie M. Wilson, Richard K. Wilson, Boris Winterhoff, Jeffrey A. Wintersinger, Maciej Wiznerowicz, Stephan Wolf, Bernice H. Wong, Tina Wong, Winghing Wong, Youngchoon Woo, Scott Wood, Bradly G. Wouters, A. Jordan Wright, Derek Wright, Mark H. Wright, Chin‐Lee Wu, Dai‐Ying Wu, Jianmin Wu, Kui Wu, Yang‐Chang Wu, Zhenggang Wu, Liu Xi, Tian Xia, Qian Xiang, Xiao Xiao, Rui Xing, Heng Xiong, Qinying Xu, Yanxun Xu, Hong Xue, Shinichi Yachida, Sergei Yakneen, Takafumi N. Yamaguchi, Masakazu Yamamoto, Shogo Yamamoto, Hiroki Yamaue, Fan Yang, Huanming Yang, Jean Yang, Liming Yang, Shanlin Yang, Tsun-Po Yang, Yang Yang, Marie‐Laure Yaspo, Lucy Yates, Christina Yau, Chen Ye, Kai Ye, Venkata Yellapantula, Christopher J. Yoon, Fouad Yousif, Kaixian Yu, Willie Yu, Yingyan Yu, Ke Yuan, Yuan Yuan, Denis Yuen, Christina K. Yung, Olga Zaikova, Marc Zapatka, Jean C. Zenklusen, Thorsten Zenz, Nikolajs Zeps, Fan Zhang, Hailei Zhang, Hongwei Zhang, Hongxin Zhang, Jiashan Zhang, Junjun Zhang, Xiuqing Zhang, Zemin Zhang, Liangtao Zheng, Xiuqing Zheng, Wanding Zhou, Yong Zhou, Bin Zhu, Hongtu Zhu, Jingchun Zhu, Shida Zhu, Lihua Zou, Xueqing Zou, Anna DeFazio, Nicholas van As, Carolien H. M. van Deurzen, Marc J. van de Vijver, L. van’t Veer
Notice bibliographique
RevueNature · 2023
Typeerratum
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer Genomics and Diagnostics
Établissements canadiensVector InstituteProstate Cancer CanadaLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalPrincess Margaret Cancer CentreUniversity of CalgaryGenome CanadaCanada's Michael Smith Genome Sciences CentreMcGill UniversityUniversity of OttawaSimon Fraser UniversityMcGill University and Génome Québec Innovation CentreToronto General HospitalUniversity Health NetworkBC Cancer AgencySickKids FoundationUniversity of TorontoInstitute of Cancer ResearchOntario Institute for Cancer Research
Organismes subventionnairesMedical Research CouncilCancer Research UK
Mots-clésSomatic cellGenomeCoding (social sciences)Computational biologyBiologyGeneticsStatisticsGeneMathematics
Résumé
Correction to: Nature Published online 5 February 2020 In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium were listed in the Supplementary Information; however, these members should have been included in the main paper. The original Article 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 minor corrections to affiliations 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. An additional affiliation has been added for Husen M. Umer (Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden). The affiliation for Erik Larsson has been changed from Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA to Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,061
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,096
Score d'incertitude au seuil0,321
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,061 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,096 | 0,044 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
Tête enseignante Opus0,016
Tête enseignante GPT0,327
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validation
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».
En bref
Citations12
Publié2023
Routes d'admission1
Résumé présentoui