Author

Dana Shainshein

Weizmann Institute of ScienceORCID 0009-0007-7979-8471Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

Idan MiloiD· 2 shared Leeat KereniD· 2 shared Noa MaimoniD· 2 shared Ofer ElhananiiD· 2 shared Raz Ben-UriiD· 2 shared Tal Keidar HaraniD· 2 shared Yuval BussiiD· 2 shared Alexander RochwargeriD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Idan MiloORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedJul 31, 2026

CellTune: An integrative software for accurate cell classification in spatial proteomics

Yuval Bussi, Dana Shainshein, Ovits Eli…·Leeat Keren

CellTune is a software tool for cell classification in spatial proteomics that outperforms existing methods with high accuracy and resolution.

4 citations

proteomicsexperimental assay

𝕏 PostBluesky

Systems BiologybioRxivPreprintSep 9, 2023

Escalating High-dimensional Imaging using Combinatorial Channel Multiplexing and Deep Learning

Raz Ben-Uri, Lior Ben Shabat, Dana Shainshein…·Leeat Keren

This paper introduces CombPlex, a combinatorial staining method combined with deep learning to measure more proteins at single-cell resolution without needing specialized imaging equipment.

5 citations

imagingdeep learning

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