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

An information theoretic approach to detecting spatially varying genes

Daniel C. Jones, Patrick J. Danaher, Young‐Mi Kim, Joseph Beechem, Raphaël Gottardo, 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.

Cell Reports Methods · Jun 1, 2023Peer-reviewedBioinformatics

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

Patrick J. Danaher, Young‐Mi Kim, Brenn Nelson, Maddy Griswold, Zhi Gang Yang, Erin Piazza, Joseph Beechem

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

bioRxiv · Aug 4, 2020 · PreprintBioinformatics