Author

Leonore A. Herzenberg

Stanford MedicineORCID 0000-0002-5925-2099Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Connor MeehaniD· 2 shared David R. ParksiD· 2 shared Guenther WaltheriD· 2 shared Stephen Meehan· 2 shared Wayne MooreiD· 2 shared Jonathan Ebrahimian· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Connor MeehanORCID

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2 papers

Recent·Most cited

BioinformaticsCommunications BiologyPeer-reviewedAug 12, 2025

Automatic Phenotyping Using Exhaustive Projection Pursuit

Wayne Moore, Stephen Meehan, Connor Meehan…·Leonore A. Herzenberg

This paper introduces EPP, a method for automated phenotype identification in flow cytometry data, and evaluates it on four datasets.

DOI 10.1038/s42003-025-08581-z

bulk RNA-seqstatistical model

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BioinformaticsbioRxivPreprintJun 19, 2025

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…·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.

DOI 10.1101/2025.06.19.660626

machine learning (classical)clustering

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