Author

David Hein

The University of Texas Southwestern Medical CenterORCID 0000-0002-8625-9528Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andrew Jamieson· 1 shared Arely Perez Rodriguez· 1 shared Bassel DawodiD· 1 shared Eslam A. ElghonaimyiD· 1 shared Gaudenz M. DanuseriD· 1 shared Megan WachsmanniD· 1 shared Paul H. AcostaiD· 1 shared Purva GopaliD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew Jamieson

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1 paper

Recent·Most cited

Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework

Bassel Dawod, Arely Perez Rodriguez, Sebastian Diegeler, Eslam A. Elghonaimy, Megan Wachsmann, Purva Gopal, David Hein, Paul H. Acosta, Andrew Jamieson, Gaudenz M. Danuser, Robert D Timmerman, Satwik Rajaram, Todd Anthony Aguilera

SPACEMAP is a machine learning framework for multiplex imaging analysis that resolves phenotyping discordance by integrating multiple classification methods.

bioRxiv · Nov 27, 2025 · PreprintBioinformatics