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

Georgios Kaissis, Sebastian Ziegelmayer, Fabian Lohöfer, Katja Steiger, Hana Algül, Alexander Muckenhuber, Hsi Yu Yen, Ernst Rummeny, Helmut Friess, Roland Schmid, Wilko Weichert, Jens T. Siveke, Rickmer Braren

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

50 Scopus citations

Fingerprint

Dive into the research topics of 'A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry

Neuroscience

Biochemistry, Genetics and Molecular Biology