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The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types

Year of publication

2021

Authors

Micke Patrick, Strell Carina, Mattsson Johanna, Martin-Bernabé Alfonso, Brunnström Hans, Huvila Jutta, Sund Malin, Wärnberg Fredrik, Ponten Fredrik, Glimelius Bengt, Hrynchyk Ina, Mauchanski Siarhei, Khelashvili Salome, Garcia-Vicién Gemma, Mollevi David G, Edqvist Per-Henrik, Reilly Aine O, Corvigno Sara, Dahlstrand Hanna, Botling Johan, Segersten Ulrika, Krzyzanowska Agnieszka, Bjartell Anders, Elebro Jacob, Heby Margareta, Lundgren Sebastian, Hedner Charlotta, Borg David, Brändstedt Jenny, Sartor Hanna, Malmström Per-Uno, Johansson Martin, Nodin Björn, Backman Max, Lindskog Cecilia, Jirström Karin, Mezheyeuski Artur
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Organizations and authors

University of Turku

Huvila Jutta

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

EBioMedicine

Publisher

Elsevier

Volume

65

Article number

103269

ISSN

2352-3964

​Publication forum

82311

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Biomedicine; Cancers

Publication country

Netherlands

Internationality of the publisher

International

International co-publication

Yes

Co-publication with a company

No

DOI

10.1016/j.ebiom.2021.103269

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes