Author

Martin Vagenknecht

MSD (Czech Republic)

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· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Danny A. BittoniD· 2 shared Jindřich Soukup· 2 shared Alejandro Vázquez-Otero· 1 shared Anna C. StolliD· 1 shared Deepak Kumar JhaiD· 1 shared Filip Oplt· 1 shared Illia Prazdnyk· 1 shared Jacob Marcus· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Danny A. BittonORCID

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Author profile →

2 papers

Recent·Most cited

InCytokine, an open-source software, reveals a TREM2 variant specific cytokine signature

Deepak Kumar Jha, Marco Ancona, Filip Oplt, Sonia L. Farmer, Martin Vagenknecht, Alejandro Vázquez-Otero, Illia Prazdnyk, Jindřich Soukup, Rebecca S. Mathew, Vanessa M. Peterson, Danny A. Bitton

InCytokine is an open-source tool for analyzing cytokine and chemokine data from protein arrays, revealing genotype-specific signatures in TREM2 variants.

International Journal of Molecular Sciences · Jan 23, 2026Peer-reviewedBioinformatics

AnNoBrainer, an Automated Annotation of Mouse Brain Images using Deep Learning

Roman Peter, Petr Hrobař, Josef Navratil, Martin Vagenknecht, Jindřich Soukup, Keiko Tsuji, Nestor X. Barrezueta, Anna C. Stoll, Renee C. Gentzel, Jonathan A. Sugam, Jacob Marcus, Danny A. Bitton

AnNoBrainer automates mouse brain image annotation using deep learning, improving accuracy, reproducibility, and efficiency compared to manual methods.

Neuroinformatics · Aug 6, 2024Peer-reviewedNeuroscience