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Title:

A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy

Document type:
Zeitschriftenaufsatz
Author(s):
Kaissis, Georgios; Ziegelmayer, Sebastian; Lohöfer, Fabian; Steiger, Katja; Algül, Hana; Muckenhuber, Alexander; Yen, Hsi-Yu; Rummeny, Ernst; Friess, Helmut; Schmid, Roland; Weichert, Wilko; Siveke, Jens T.; Braren, Rickmer
Journal title:
PLOS ONE
Year:
2019
Journal volume:
14
Journal issue:
10
Pages contribution:
e0218642
Fulltext / DOI:
doi:10.1371/journal.pone.0218642
Publisher:
Public Library of Science (PLoS)
E-ISSN:
1932-6203
Date of publication:
02.10.2019
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