Author

Alexandra J. Lee

J. Craig Venter InstitutePrimary ORCID profile (0000-0002-0208-3730 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Alexandra J. LeeiD4 papers · University of Pennsylvania

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Alessandro SetteiD· 1 shared Bjoern PetersiD· 1 shared Cecilia S. Lindestam ArlehamniD· 1 shared Daniela WeiskopfiD· 1 shared Ivan Chang· 1 shared Julie G. BureliD· 1 shared Qian YuiD· 1 shared Richard H. ScheuermanniD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Alessandro SetteORCID

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1 paper

Recent·Most cited

DAFi: A Directed Recursive Filtering and Clustering Approach to Data-Driven Identification of Cell Populations from Polychromatic Flow Cytometry Data

Alexandra J. Lee, Ivan Chang, Julie G. Burel, Cecilia S. Lindestam Arlehamn, Daniela Weiskopf, Bjoern Peters, Alessandro Sette, Richard H. Scheuermann, Qian Yu

DAFi identifies cell populations from flow cytometry data by combining recursive filtering and clustering with user-defined constraints, improving resolution of overlapping and rare populations.

bioRxiv · Sep 26, 2017 · PreprintBioinformatics