Fast and robust invariant generalized linear models
<p>Statistical integration of diverse data sources is an essential step in the building of generalizable prediction tools, especially in precision health. The invariant features model is a new paradigm for multi-source data integration which posits that a small number of covariates affect the...
में बचाया:
| मुख्य लेखक: | Parker Knight (22683015) (author) |
|---|---|
| अन्य लेखक: | Ndey Isatou Jobe (22683018) (author), Rui Duan (561668) (author) |
| प्रकाशित: |
2025
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| विषय: | |
| टैग: |
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समान संसाधन
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Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings.
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Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information.
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Impact of multiunit merging on neural information encoding.
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Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data.
द्वारा: Daniel Suárez-Barrera (22676654)
प्रकाशित: (2025)