Author

Alexander Muckenhuber

Technical University of MunichORCID 0000-0002-0414-1797Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ernst J. RummenyiD· 1 shared Fabian Karl LohöferiD· 1 shared Georgios A. KaissisiD· 1 shared Hana AlgüliD· 1 shared Helmut Frieß· 1 shared Hsi-Yu YeniD· 1 shared Jens Thomas SivekeiD· 1 shared Katja SteigeriD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ernst J. RummenyORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedOct 2, 2019

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

Georgios A. Kaissis, Sebastian Ziegelmayer, Fabian Karl Lohöfer…·Rickmer Braren

This paper develops a machine learning model to predict molecular subtypes of PDAC from radiomic features, showing differential chemotherapy response based on subtype.

76 citationstop 2%

humanimaging

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