Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2041-1723

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns ; volume:13 ; number:1 ; day:8 ; month:12 ; year:2022 ; pages:1 ; date:12.2022
Nature Communications ; 13, Heft 1 (8.12.2022), 1, 12.2022

Creator: Jiao, Wei
Atwal, Gurnit
Polak, Paz
Karlic, Rosa
Cuppen, Edwin
Danyi, Alexandra
Ridder, Jeroen de
Herpen, Carla van
Lolkema, Martijn P.
Steeghs, Neeltje
Getz, Gad
Morris, Quaid D.
Stein, Lincoln D.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41467-022-32329-6

URN: urn:nbn:de:101:1-2023021809125914407901

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:03 AM CEST

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Associated

Jiao, Wei
Atwal, Gurnit
Polak, Paz
Karlic, Rosa
Cuppen, Edwin
Danyi, Alexandra
Ridder, Jeroen de
Herpen, Carla van
Lolkema, Martijn P.
Steeghs, Neeltje
Getz, Gad
Morris, Quaid D.
Stein, Lincoln D.
SpringerLink (Online service)

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Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

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Other Objects (12)

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Multiplex immunohistochemistry accurately defines the immune context of metastatic melanoma

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Loss, mutation and deregulation of L3MBTL4 in breast cancers

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The passenger

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Mutation spectrum in human colorectal cancers and potential functional relevance

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Multiplex immunohistochemistry accurately defines the immune context of metastatic melanoma

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The Bourque distances for mutation trees of cancers

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The passenger

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