Author

Laura E. Brown

University of California, San FranciscoORCID 0000-0002-9012-6680Unclaimed 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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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ahmet DoǧaniD· 1 shared Atul Janardhan ButteiD· 1 shared Chuanyi Mark LuiD· 1 shared Dmitry B. GoldgofiD· 1 shared Fabienne McClanahan LucasiD· 1 shared Gregory Mark GoldgofiD· 1 shared Iain D. CarmichaeliD· 1 shared Jacob D. SpectoriD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ahmet DoǧanORCID

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1 paper

Recent·Most cited

DeepHeme: A generalizable, bone marrow classifierwith hematopathologist-level performance

Gregory Mark Goldgof, Shenghuan Sun, Jacob G. Van Cleave, Linlin Wang, Fabienne McClanahan Lucas, Laura E. Brown, Jacob D. Spector, Leonardo Boiocchi, Jeeyeon Baik, Menglei Zhu, Orly Ardon, Chuanyi Mark Lu, Ahmet Doǧan, Dmitry B. Goldgof, Iain D. Carmichael, , Atul Janardhan Butte

DeepHeme is a convolutional neural network trained on bone marrow single-cell images that achieves high accuracy in classifying hematologic cell types, outperforming human experts.

bioRxiv · Feb 20, 2023 · PreprintBioinformatics