Abstract: The Uniform Manifold Approximation and Projection (UMAP) algorithm is a powerful tool for dimensionality reduction, renowned for its ability to preserve both local and global data structures ...
With the growing reliance on deep learning (DL) models for tasks in computer vision, high-quality training data is essential for the development of accurate models. However, generating large, labeled ...
We use a dimension reduction algorithm, Uniform Manifold Approximation and Projection (UMAP), to study dynamical structures inside a dark matter halo. We use a zoom-in simulation of a Milky Way mass ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
We need to fix this, because this is a common case that users will experience often in our UMAP and we shouldn't fail here. Granted, we've rearranged some of the math in the smoothing function to make ...
Unsupervised clustering analysis yielded the identification of ten distinct cell populations, including epidermis cells, gastrodermis cells, algae-hosting cells, calicoblast, cnidocytes, and immune ...
Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...
RAPIDS cuML introduces a faster, scalable UMAP implementation using GPU acceleration, addressing challenges in large dataset processing with new algorithms for improved performance. The latest ...
Under normal conditions the principal cells of the striatum, medium spiny neurons (MSNs), show structured cell assembly activity patterns which alternate sequentially over exceedingly long timescales ...
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