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  1. 1
    Alternative Ion-Pairing Modifiers Should Be Investigated in Low-Input and Single-Cell Proteomics

    Alternative Ion-Pairing Modifiers Should Be Investigated in Low-Input and Single-Cell Proteomics Yazar: Colten D. Eberhard (17729446)

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  2. 2
    Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings.

    Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. Yazar: Daniel Suárez-Barrera (22676654)

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  3. 3
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. Yazar: Daniel Suárez-Barrera (22676654)

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  4. 4
    Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data.

    Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. Yazar: Daniel Suárez-Barrera (22676654)

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  5. 5
    Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC).

    Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). Yazar: Daniel Suárez-Barrera (22676654)

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  6. 6
    Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information.

    Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. Yazar: Daniel Suárez-Barrera (22676654)

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  7. 7
    Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification.

    Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. Yazar: Daniel Suárez-Barrera (22676654)

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