Author

Jonathan Ebrahimian

Southern Methodist University

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

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Connor MeehaniD· 1 shared David R. ParksiD· 1 shared Guenther WaltheriD· 1 shared Leonore A. HerzenbergiD· 1 shared Stephen Meehan· 1 shared Wayne MooreiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Connor MeehanORCID

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1 paper

Recent·Most cited

MUDflow: Combining Neural Networks, UMAP and DBM Clustering to Identify Cell Populations Accurately, Quickly and Easily in Mass and Fluorescence Cytometry

Connor Meehan, Stephen Meehan, Jonathan Ebrahimian, Wayne Moore, David R. Parks, Guenther Walther, Leonore A. Herzenberg

The paper introduces MLPgater, a neural network for automatic flow cytometry gating, and MUDflow, which combines it with UMAP and DBM clustering to improve population detection accuracy and speed.

bioRxiv · Jun 19, 2025 · PreprintBioinformatics