Author

Dalia Barkley

NYU Langone HealthORCID 0000-0001-6537-5557Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Itai YanaiiD· 2 shared Fan ZhengiD· 1 shared Florian WagneriD· 1 shared Jing YangiD· 1 shared Maayan BaroniD· 1 shared Maija H. KiuruiD· 1 shared Mohita M. TagoreiD· 1 shared Patrick Wall· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersSystems Biology

Itai YanaiORCID

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2 papers

Recent·Most cited

Systems BiologyNature GeneticsPeer-reviewedApr 16, 2025

Desmosome mutations impact the tumor microenvironment to promote melanoma proliferation

Maayan Baron, Mohita M. Tagore, Patrick Wall…·Trey E. Ideker

The paper shows that desmosome mutations in keratinocytes of the tumor microenvironment promote melanoma proliferation through reduced desmosome gene expression and increased melanoma cell growth.

8 citations

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 17, 2019

Accurate denoising of single-cell RNA-Seq data using unbiased principal component analysis

Florian Wagner, Dalia Barkley, Itai Yanai

This paper introduces ENHANCE, a denoising method for single-cell RNA-Seq data using PCA with a cell aggregation step, showing improved accuracy over existing methods.

30 citations

scRNA-seqstatistical model

𝕏 PostBluesky