Author

Minh Doan

Broad InstituteORCID 0000-0002-3235-0457Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Anne Elizabeth CarpenteriD· 2 shared Shantanu SinghiD· 2 shared Aline Roch· 1 shared Allen GoodmaniD· 1 shared Allison T. HandsiD· 1 shared Amos GutnickiD· 1 shared Andrew S. BoghossianiD· 1 shared Ann DevineiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Anne Elizabeth CarpenterORCID

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2 papers

Recent·Most cited

BioinformaticsCell SystemsPeer-reviewedSep 1, 2022

Virtual screening for small molecule pathway regulators by image profile matching

Mohammad Hossein Rohban, Ashley M. Fuller, Ceryl Tan…·Anne Elizabeth Carpenter

The paper identifies small molecule regulators of biological pathways by matching compound effects to known pathway phenotypes in public cell image data.

36 citationstop 5%

humanimaging

𝕏 PostBluesky

BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedAug 24, 2020

Label-free assessment of red blood cell storage lesions by deep learning

Minh Doan, Joseph A. Sebastian, Juan Carlos Caicedo…·Anne Elizabeth Carpenter

This study uses deep learning and label-free imaging flow cytometry to classify red blood cell morphologies during storage, achieving 90% accuracy and predicting expiration dates based on morphological changes.

107 citationstop 3%

humanimaging

𝕏 PostBluesky