Author

David Weber

Johannes Gutenberg University Mainz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Barbara SchrörsiD· 2 shared Franziska LangiD· 2 shared Martin Löwer· 2 shared Patrick SorniD· 2 shared Uğur ŞahiniD· 2 shared Alina HenrichiD· 1 shared Aline Beicht· 1 shared Christian H. AlbrechtiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Barbara SchrörsORCID

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2 papers

Recent·Most cited

Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates

Franziska Lang, Patrick Sorn, M Suchan, Alina Henrich, Christian H. Albrecht, Nina Köhl, Aline Beicht, Pablo Riesgo-Ferreiro, Christoph Holtsträter, Barbara Schrörs, David Weber, Martin Löwer, Uğur Şahin, Jonas Ibn-Salem

This paper introduces splice2neo, a tool to identify tumor-specific splice junctions from somatic mutations, which can generate neoantigen candidates for immunotherapy.

Bioinformatics Advances · Jan 1, 2024Peer-reviewedBioinformatics

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

Franziska Lang, Patrick Sorn, Barbara Schrörs, David Weber, Stefan Krämer, Uğur Şahin, 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.

iScience · Sep 22, 2023Peer-reviewedBioinformatics