Author

Young‐Mi Kim

Nanostring Technologies (United States)ORCID 0000-0002-9443-9393Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Joseph BeechemiD· 2 shared Patrick J. DanaheriD· 2 shared Brenn Nelson· 1 shared Daniel C. JonesiD· 1 shared Erin PiazzaiD· 1 shared Evan William NewelliD· 1 shared Maddy Griswold· 1 shared Raphaël GottardoiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Joseph BeechemORCID

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2 papers

Recent·Most cited

BioinformaticsCell Reports MethodsPeer-reviewedJun 1, 2023

An information theoretic approach to detecting spatially varying genes

Daniel C. Jones, Patrick J. Danaher, Young‐Mi Kim…·Evan William Newell

This paper introduces Maxspin, an information-theoretic method for detecting spatially varying genes, showing improved accuracy across spatial transcriptomics platforms and simulations.

7 citations

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 4, 2020

Advances in mixed cell deconvolution enable quantification of cell types in spatially-resolved gene expression data

Patrick J. Danaher, Young‐Mi Kim, Brenn Nelson…·Joseph Beechem

SpatialDecon quantifies cell populations in spatially-resolved gene expression data, showing spatially heterogeneous immune responses in lung tumors.

20 citations

humanbulk RNA-seq

𝕏 PostBluesky