Author

Carl Harris

Johns Hopkins UniversityORCID 0000-0002-0680-5833Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Casey Overby TayloriD· 2 shared Ishan VatsarajiD· 2 shared Joseph L. GreensteiniD· 2 shared Nidhi SoleyiD· 2 shared Alyssa N. CoyneiD· 1 shared Amanda Kwok· 1 shared Amir Hossein DaraieiD· 1 shared April Yan· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersImmunology

Casey Overby TaylorORCID

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Author profile →

3 papers

Recent·Most cited

Longitudinal TCR repertoires in ulcerative colitis patients show features distinguishing disease states

Sabahat Rahman, Beiya Xu, Matthew Farah, Amanda Kwok, Jacob Varghese, Amir Hossein Daraie, Joseph L. Greenstein, Casey Overby Taylor, Nidhi Soley, April Yan, Ishan Vatsaraj, Carl Harris, Joanna Melia, Kristi Briggs

This study analyzes TCR repertoires from ulcerative colitis patients over time, identifying Vβ gene usage and K-mer enrichment differences between flare and remission states.

Inflammatory Bowel Diseases · Mar 13, 2026Peer-reviewedImmunology

Identification of molecular and clinical ALS subgroups based on TDP-43 loss of function molecular markers from population-based patient-derived iPS motor neurons

T. L. Cheng, shaili tripathi, Yike Guo, Parimala Vedula, R. Li, Michael Potanin, Nidhi Soley, April Yujie Yan, Ishan Vatsaraj, Carl Harris, Joseph L. Greenstein, Casey Overby Taylor, Alyssa N. Coyne, Jeffrey D. Rothstein

The paper identifies molecular and clinical subgroups of ALS using TDP-43 loss-of-function markers from patient-derived iPS motor neurons, revealing distinct disease severity and clinical outcomes.

bioRxiv · Jan 7, 2026 · PreprintNeuroscience

DeepAction: A MATLAB toolbox for automated classification of animal behavior in video

Carl Harris, Kelly R. Finn, Marie‐Luise Kieseler, Marvin R. Maechler, Peter Ulric Tse

DeepAction is a MATLAB toolbox that uses deep learning to automate animal behavior classification in video, achieving high accuracy with minimal training data and reducing annotation time.

Scientific Reports · Feb 15, 2023Peer-reviewedNeuroscience