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

W Jiao; G Atwal; P Polak; R Karlic; E Cuppen; A Danyi; J Ridder; C van Herpen; Martijn Lolkema; N Steeghs; G Getz; Q Morris; LD Stein

doi:10.1038/s41467-019-13825-8

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

W Jiao, G Atwal, P Polak, R Karlic, E Cuppen, A Danyi, J Ridder, C van Herpen, Martijn Lolkema, N Steeghs, G Getz, Q Morris, LD Stein

Medical Oncology

Research output: Contribution to journal › Article › Academic › peer-review

139 Citations (Scopus)

41 Downloads (Pure)

Original language	English
Article number	728
Journal	Nature Communications
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41467-019-13825-8
Publication status	Published - 2020

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EMC OR-01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41467-019-13825-8

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Cite this

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title = "A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns",

author = "W Jiao and G Atwal and P Polak and R Karlic and E Cuppen and A Danyi and J Ridder and {van Herpen}, C and Martijn Lolkema and N Steeghs and G Getz and Q Morris and LD Stein",

year = "2020",

doi = "10.1038/s41467-019-13825-8",

language = "English",

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AU - Jiao, W

AU - Atwal, G

AU - Polak, P

AU - Karlic, R

AU - Cuppen, E

AU - Danyi, A

AU - Ridder, J

AU - van Herpen, C

AU - Lolkema, Martijn

AU - Steeghs, N

AU - Getz, G

AU - Morris, Q

AU - Stein, LD

PY - 2020

Y1 - 2020

U2 - 10.1038/s41467-019-13825-8

DO - 10.1038/s41467-019-13825-8

M3 - Article

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SN - 2041-1723

VL - 11

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 728

ER -