Author

Jutta Bulkescher

University of Copenhagen

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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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

András KristoniD· 1 shared Andreas MundiD· 1 shared Andreas‐David BrunneriD· 1 shared Beatrice Dyring‐AnderseniD· 1 shared Christian GnanniD· 1 shared Claudia LukasiD· 1 shared Emma K. LundbergiD· 1 shared Fabian CosciaiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

András KristonORCID

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1 paper

Recent·Most cited

AI-driven Deep Visual Proteomics defines cell identity and heterogeneity

Andreas Mund, Fabian Coscia, Réka Hollandi, Ferenc Kovács, András Kriston, Andreas‐David Brunner, Michael Bzorek, Soraya Naimy, Lise Mette Rahbek Gjerdrum, Beatrice Dyring‐Andersen, Jutta Bulkescher, Claudia Lukas, Christian Gnann, Emma K. Lundberg, Péter Horváth, 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.

bioRxiv · Jan 25, 2021 · PreprintSystems Biology