Author

Michael Lee Gleicher

University of Wisconsin–MadisonORCID 0000-0003-3295-4071Unclaimed 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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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Colin N. DeweyiD· 1 shared Matthew N. BernsteiniD· 1 shared Zhongjie Ma· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Colin N. DeweyORCID

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1 paper

Recent·Most cited

BioinformaticsiSciencePeer-reviewedDec 8, 2020

CellO: Comprehensive and hierarchical cell type classification of human cells with the Cell Ontology

Matthew N. Bernstein, Zhongjie Ma, Michael Lee Gleicher, Colin N. Dewey

CellO is a machine learning tool for hierarchically classifying human cell types using the Cell Ontology, achieving competitive performance with a comprehensive training dataset and interpretable models.

45 citations

humanbulk RNA-seq

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