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Daniel B Burkhardt

Showing results (1-10 of 18) with videos related to

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Cancer Discovery|June 23, 2022
Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold LearningDaniel B Burkhardt, Beatriz P San Juan, John G Lock, et al.
Nature Communications|January 31, 2020
Publisher Correction: MLL-AF9 initiates transformation from fast-proliferating myeloid progenitorsXinyue Chen, Daniel B Burkhardt, Amaleah A Hartman, et al.
Patterns (New York, N.Y.)|July 21, 2021
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inferenceMatthew Amodio, Dennis Shung, Daniel B Burkhardt, et al.
Nature Communications|December 20, 2019
MLL-AF9 initiates transformation from fast-proliferating myeloid progenitorsXinyue Chen, Daniel B Burkhardt, Amaleah A Hartman, et al.
Nature Communications|January 14, 2022
Modeling uniquely human gene regulatory function via targeted humanization of the mouse genomeEmily V Dutrow, Deena Emera, Kristina Yim, et al.
Nature Biotechnology|February 9, 2021
Quantifying the effect of experimental perturbations at single-cell resolutionDaniel B Burkhardt, Jay S Stanley, Alexander Tong, et al.
Applied and Environmental Microbiology|September 4, 2016
Long-Term Warming Alters Carbohydrate Degradation Potential in Temperate Forest SoilsGrace Pold, Andrew F Billings, Jeff L Blanchard, et al.
Nature Biotechnology|January 4, 2020
Author Correction: Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, et al.
Nature Biotechnology|December 5, 2019
Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, 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 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Cancer Discovery|June 23, 2022
Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold LearningDaniel B Burkhardt, Beatriz P San Juan, John G Lock, et al.
Nature Communications|January 31, 2020
Publisher Correction: MLL-AF9 initiates transformation from fast-proliferating myeloid progenitorsXinyue Chen, Daniel B Burkhardt, Amaleah A Hartman, et al.
Patterns (New York, N.Y.)|July 21, 2021
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inferenceMatthew Amodio, Dennis Shung, Daniel B Burkhardt, et al.
Nature Communications|December 20, 2019
MLL-AF9 initiates transformation from fast-proliferating myeloid progenitorsXinyue Chen, Daniel B Burkhardt, Amaleah A Hartman, et al.
Nature Communications|January 14, 2022
Modeling uniquely human gene regulatory function via targeted humanization of the mouse genomeEmily V Dutrow, Deena Emera, Kristina Yim, et al.
Nature Biotechnology|February 9, 2021
Quantifying the effect of experimental perturbations at single-cell resolutionDaniel B Burkhardt, Jay S Stanley, Alexander Tong, et al.
Applied and Environmental Microbiology|September 4, 2016
Long-Term Warming Alters Carbohydrate Degradation Potential in Temperate Forest SoilsGrace Pold, Andrew F Billings, Jeff L Blanchard, et al.
Nature Biotechnology|January 4, 2020
Author Correction: Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, et al.
Nature Biotechnology|December 5, 2019
Visualizing structure and transitions in high-dimensional biological dataKevin R Moon, David van Dijk, Zheng Wang, 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 2