Author

Christine Dien

Fred Hutch Cancer CenterORCID 0009-0008-8850-3046Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:clustering· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Manu N. SettyiD· 2 shared Brennan DuryiD· 1 shared Cailin JordaniD· 1 shared Chrysothemis C. BrowniD· 1 shared Dana Pe’eriD· 1 shared Dominik J. OttoiD· 1 shared Ignas MasilionisiD· 1 shared Itsik Pe’eriD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Manu N. SettyORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedJun 18, 2024

Quantifying Cell-State Densities in Single-Cell Phenotypic Landscapes using Mellon

Dominik J. Otto, Cailin Jordan, Brennan Dury…·Manu N. Setty

The paper introduces Mellon, a method to estimate cell-state densities in single-cell data, revealing high-density regions for major cell types and low-density regions for rare transitory states.

38 citationstop 3%

scRNA-seqstatistical model

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BioinformaticsbioRxivPreprintApr 2, 2022

SEACells: Inference of transcriptional and epigenomic cellular states from single-cell genomics data

Sitara Persad, Zi-Ning Choo, Christine Dien…·Dana Pe’er

SEACells identifies metacells from single-cell data, improving gene-peak associations and revealing chromatin dynamics in hematopoiesis and COVID-19.

22 citations

humanscRNA-seq

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