Author

Andrew Benz

Yale UniversityORCID 0009-0002-8118-1861Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Smita KrishnaswamyiD· 2 shared Aarthi VenkatiD· 1 shared Annelie MollbrinkiD· 1 shared Beatriz P. San JuaniD· 1 shared Carley A. PurcelliD· 1 shared Cerys S. McCooliD· 1 shared Christine Louise ChafferiD· 1 shared Daniel B. BurkhardtiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Smita KrishnaswamyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 11, 2024

AAnet resolves a continuum of spatially-localized cell states to unveil tumor complexity

Aarthi Venkat, Scott E. Youlten, Beatriz P. San Juan…·Christine Louise Chaffer

AAnet identifies archetypal cell states in single-cell data to reveal tumor heterogeneity and spatial organization.

3 citations

𝕏 PostBluesky

NeuroscienceNature Computational SciencePeer-reviewedMar 27, 2023

Multi-view manifold learning of human brain statetrajectories

Erica L. Busch, Jessie Huang, Andrew Benz…·Nicholas B. Turk‐Browne

This paper introduces T-PHATE, a nonlinear manifold learning algorithm for time-series data like fMRI, showing improvements in visualization, classification, and segmentation.

44 citationstop 2%

𝕏 PostBluesky