Author

Hyeong-Min Lee

St. Jude Children's Research HospitalORCID 0000-0002-9381-3611Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Asif ZubairiD· 1 shared Heather S. Tillman· 1 shared John B. EastoniD· 1 shared Min PaniD· 1 shared Paul GeeleheriD· 1 shared Richard H. ChappleiD· 1 shared Sivaraman NatarajaniD· 1 shared William C. WrightiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Asif ZubairORCID

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1 paper

Recent·Most cited

Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model.

Asif Zubair, Richard H. Chapple, Sivaraman Natarajan, William C. Wright, Min Pan, Hyeong-Min Lee, Heather S. Tillman, John B. Easton, Paul Geeleher

Nucleic Acids Research · Apr 21, 2022Peer-reviewedBioinformatics