Author

Stefan Krämer

Johannes Gutenberg University MainzORCID 0000-0001-5795-7629Unclaimed 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:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Barbara SchrörsiD· 1 shared David Weber· 1 shared Franziska LangiD· 1 shared Martin Löwer· 1 shared Patrick SorniD· 1 shared Uğur ŞahiniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Barbara SchrörsORCID

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1 paper

Recent·Most cited

BioinformaticsiSciencePeer-reviewedSep 22, 2023

Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates

Franziska Lang, Patrick Sorn, Barbara Schrörs…·Martin Löwer

This study uses multiple instance learning to predict immune checkpoint blockade efficacy based on qualitative neoantigen profiles, showing better performance than quantitative approaches.

3 citations

machine learning (classical)drug response / drug discovery

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