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Benjamin DeMeo

Showing results (1-10 of 5) with videos related to

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Bioinformatics (Oxford, England)|July 14, 2020
Hopper: a mathematically optimal algorithm for sketching biological dataBenjamin DeMeo, Bonnie Berger
Genome Biology|August 25, 2023
SCA: recovering single-cell heterogeneity through information-based dimensionality reductionBenjamin DeMeo, Bonnie Berger
Proceedings of Machine Learning Research|August 25, 2020
Large-Margin Classification in Hyperbolic SpaceHyunghoon Cho, Benjamin DeMeo, Jian Peng, et al.
Cell Systems|June 10, 2019
Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic LandscapeBrian Hie, Hyunghoon Cho, Benjamin DeMeo, et al.
Science (New York, N.Y.)|October 23, 2025
Active learning framework leveraging transcriptomics identifies modulators of disease phenotypesBenjamin DeMeo, Charlotte Nesbitt, Samuel A Miller, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|July 14, 2020
Hopper: a mathematically optimal algorithm for sketching biological dataBenjamin DeMeo, Bonnie Berger
Genome Biology|August 25, 2023
SCA: recovering single-cell heterogeneity through information-based dimensionality reductionBenjamin DeMeo, Bonnie Berger
Proceedings of Machine Learning Research|August 25, 2020
Large-Margin Classification in Hyperbolic SpaceHyunghoon Cho, Benjamin DeMeo, Jian Peng, et al.
Cell Systems|June 10, 2019
Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic LandscapeBrian Hie, Hyunghoon Cho, Benjamin DeMeo, et al.
Science (New York, N.Y.)|October 23, 2025
Active learning framework leveraging transcriptomics identifies modulators of disease phenotypesBenjamin DeMeo, Charlotte Nesbitt, Samuel A Miller, et al.
Pageof 1