Author

Scott L. Zeger

Johns Hopkins UniversityORCID 0000-0001-8907-1603Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:rat· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:proteomics· 1

Frequent Co-Authors

Heekyung LeeiD· 2 shared James J. KnierimiD· 2 shared Michela GallagheriD· 2 shared Zitong WangiD· 2 shared Antony RoseniD· 1 shared Arjuna Tillekeratne· 1 shared Livia A Casciola-RoseniD· 1 shared Nick Lukish· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Heekyung LeeORCID

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3 papers

Recent·Most cited

NeuroscienceCurrent BiologyPeer-reviewedMay 20, 2022

Loss of functional heterogeneity along the CA3 transverse axis in aging

Heekyung Lee, Zitong Wang, Arjuna Tillekeratne…·James J. Knierim

This study examines how aging affects functional heterogeneity along the CA3 transverse axis in rats, showing reduced pattern separation in aged memory-impaired rats.

15 citations

ratelectronic health records

𝕏 PostBluesky

NeuroscienceJournal of NeurosciencePeer-reviewedNov 30, 2020

Heterogeneity of age-related neural hyperactivity along the CA3 transverse axis

Heekyung Lee, Zitong Wang, Scott L. Zeger…·James J. Knierim

This study examines age-related changes in neural firing rates along the CA3 transverse axis in rats, finding a reversed gradient in hyperactivity compared to young rats.

29 citations

ratelectronic health records

𝕏 PostBluesky

BioinformaticsBiometricsPeer-reviewedOct 8, 2020

A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes

Zhenke Wu, Livia A Casciola-Rosen, Antony Rosen, Scott L. Zeger

The paper develops a Bayesian method for clustering multivariate binary data with scientific constraints, showing improved interpretability and clustering performance in protein data analysis.

6 citations

proteomicsBayesian inference

𝕏 PostBluesky