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

GenomicsbioRxivPreprintDec 1, 2020

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…·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.

11 citations

mousescRNA-seq

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