Author

Hanna Mendes Levitin

Columbia University Irving Medical Center

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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Genomics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:scRNA-seq· 3 Approach:Bayesian inference· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Peter A. SimsiD· 3 shared Jeffrey N. BruceiD· 2 shared Peter CanolliD· 2 shared Anna LasorellaiD· 1 shared Antonio IavaroneiD· 1 shared Daniel P. CaroniD· 1 shared David CheniD· 1 shared David M. BleiiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersImmunology

Peter A. SimsORCID

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Author profile →

3 papers

Recent·Most cited

Transcriptional control of T cell tissue adaptation and effector function in infants and adults

Peter Anthony Szabo, Hanna Mendes Levitin, Thomas J. Connors, David Chen, Jenny Jin, Puspa Thapa, Rebecca S. Guyer, Daniel P. Caron, Joshua I. Gray, Rei Matsumoto, Masaru Kubota, Maigan Brusko, Todd M. Brusko, Donna L. Färber, Peter A. Sims

This study compares transcriptional profiles of memory T cells in infants and adults to identify age-specific regulatory mechanisms.

bioRxiv · Feb 1, 2025 · PreprintImmunology

Consensus scHPF Identifies Cell Type-Specific Drug Responses in Glioma by Integrating Large-Scale scRNA-seq

Hanna Mendes Levitin, Wenting Zhao, Jeffrey N. Bruce, Peter Canoll, Peter A. Sims

The paper introduces consensus scHPF, a method to identify robust gene signatures from scRNA-seq data, and applies it to discover cell type-specific drug responses in glioma.

bioRxiv · Dec 5, 2023 · PreprintGenomics

De novo Gene Signature Identification from Single-Cell RNA-Seq with Hierarchical Poisson Factorization

Hanna Mendes Levitin, Jinzhou Yuan, Yim Ling Cheng, Francisco J. R. Ruiz, Erin C. Bush, Jeffrey N. Bruce, Peter Canoll, Antonio Iavarone, Anna Lasorella, David M. Blei, Peter A. Sims

This paper introduces scHPF, a Bayesian method for discovering gene signatures from scRNA-seq without prior normalization, and finds spatially biased expression patterns in glioma regions linked to poor survival.

Molecular Systems Biology · Feb 1, 2019Peer-reviewedSystems Biology