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Jonathan Bac

Showing results (1-10 of 8) with videos related to

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Frontiers in Neurorobotics|January 31, 2020
Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional DatasetsJonathan Bac, Andrei Zinovyev
Entropy (Basel, Switzerland)|December 8, 2020
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional DatasetsAlexander Chervov, Jonathan Bac, Andrei Zinovyev
Bioinformatics (Oxford, England)|December 6, 2021
Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic dataElise Amblard, Jonathan Bac, Alexander Chervov, et al.
Entropy (Basel, Switzerland)|October 23, 2021
Scikit-Dimension: A Python Package for Intrinsic Dimension EstimationJonathan Bac, Evgeny M Mirkes, Alexander N Gorban, et al.
Entropy (Basel, Switzerland)|January 21, 2023
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution DataEvgeny M Mirkes, Jonathan Bac, Aziz Fouché, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraphLuca Albergante, Evgeny Mirkes, Jonathan Bac, et al.
Gigascience|November 26, 2020
Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes dataSergey E Golovenkin, Jonathan Bac, Alexander Chervov, et al.
Nature Methods|April 30, 2026
Resolving sensitivity, specificity and signal contamination in Xenium spatial transcriptomicsMariia Bilous, Daria Buszta, Jonathan Bac, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Neurorobotics|January 31, 2020
Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional DatasetsJonathan Bac, Andrei Zinovyev
Entropy (Basel, Switzerland)|December 8, 2020
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional DatasetsAlexander Chervov, Jonathan Bac, Andrei Zinovyev
Bioinformatics (Oxford, England)|December 6, 2021
Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic dataElise Amblard, Jonathan Bac, Alexander Chervov, et al.
Entropy (Basel, Switzerland)|October 23, 2021
Scikit-Dimension: A Python Package for Intrinsic Dimension EstimationJonathan Bac, Evgeny M Mirkes, Alexander N Gorban, et al.
Entropy (Basel, Switzerland)|January 21, 2023
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution DataEvgeny M Mirkes, Jonathan Bac, Aziz Fouché, et al.
Entropy (Basel, Switzerland)|December 8, 2020
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraphLuca Albergante, Evgeny Mirkes, Jonathan Bac, et al.
Gigascience|November 26, 2020
Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes dataSergey E Golovenkin, Jonathan Bac, Alexander Chervov, et al.
Nature Methods|April 30, 2026
Resolving sensitivity, specificity and signal contamination in Xenium spatial transcriptomicsMariia Bilous, Daria Buszta, Jonathan Bac, et al.
Pageof 1