Author

Lise Mette Rahbek Gjerdrum

University of CopenhagenORCID 0000-0003-4377-3209Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Andreas MundiD· 2 shared Matthias ManniD· 2 shared Michael BzorekiD· 2 shared András KristoniD· 1 shared Andreas‐David BrunneriD· 1 shared Beatrice Dyring‐AnderseniD· 1 shared Christian GnanniD· 1 shared Claudia LukasiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Andreas MundORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJun 12, 2024

Deep Visual Proteomics Unveils Precision Medicine Insights in Composite Small Lymphocytic and Classical Hodgkin Lymphoma

Xiang Zheng, Lars Møller Pedersen, Michael Bzorek…·Matthias Mann

This study uses Deep Visual Proteomics to analyze proteomic profiles in composite Hodgkin and small lymphocytic lymphomas, identifying subtype-specific treatment strategies.

5 citations

humanproteomics

𝕏 PostBluesky

Systems BiologybioRxivPreprintJan 25, 2021

AI-driven Deep Visual Proteomics defines cell identity and heterogeneity

Andreas Mund, Fabian Coscia, Réka Hollandi…·Matthias Mann

Pairing AI-driven image analysis with automated laser microdissection and sensitive mass spectrometry yields proteomes of single cells or nuclei chosen by their morphology, with tissue position retained.

46 citations

humanproteomics

𝕏 PostBluesky