Author

Connor Meehan

ORCID 0000-0002-7596-2437Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:matrix factorization· 1

Frequent Co-Authors

Guenther WaltheriD· 3 shared David R. ParksiD· 2 shared Leonore A. HerzenbergiD· 2 shared Stephen Meehan· 2 shared Wayne MooreiD· 2 shared Andrei V. ChernysheviD· 1 shared C. SchilleriD· 1 shared Claire M. Simpson· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Guenther WaltherORCID

Mutual co-authors in cluster

Author profile →

3 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

𝕏 PostBluesky

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

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedJan 1, 2025

Lifting the curse from high dimensional data: Automated projection pursuit clustering for the variety of biological data modalities

Claire M. Simpson, Evgeniy Tabatsky, Zainab Rahil…·Darya Yu. Orlova

The paper introduces APP, a clustering method that reduces high-dimensional biological data to lower dimensions to improve clustering performance across multiple data types.

10 citations

bulk RNA-seqproteomics

𝕏 PostBluesky