Author

Leo T. Song

Cornell UniversityORCID 0000-0002-4026-9165Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Assay:snRNA-seq· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Benjamin D. CosgroveiD· 1 shared David W. McKellariD· 1 shared Iwijn De VlaminckiD· 1 shared Lauren D. WalteriD· 1 shared Madhav MantriiD· 1 shared Michael F. Z. WangiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenomics

Benjamin D. CosgroveORCID

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1 paper

Recent·Most cited

Strength in numbers: Large-scale integration of single-cell transcriptomic data revealsrare, transient muscle progenitor cell states in muscle regeneration

David W. McKellar, Lauren D. Walter, Leo T. Song, Madhav Mantri, Michael F. Z. Wang, Iwijn De Vlaminck, Benjamin D. Cosgrove

The paper integrates large-scale single-cell and spatial transcriptomic data to identify rare, transient muscle progenitor cell states involved in muscle regeneration.

bioRxiv · Dec 1, 2020 · PreprintGenomics