Interdisciplinary research on high-dimensional quantum data faces significant challenges due to differing interpretive frameworks across physics, mathematics, and data science. Those differences in ...
Abstract: Uniform Manifold Approximation and Projection (UMAP) is a recent technique for dimensionality reduction. In this paper, we study UMAP for hyperspectral data processing. For well-known ...
In this study, scRNA-seq and scATAC-seq were performed to establish a transcriptional and chromatin accessibility atlas in a PAH model, and the key molecules and regulatory mechanisms involved in ...
Color dimensionality reduction plots (UMAP, PCA, etc.) using a multi-dimensional color space derived from gene set scores — so you can visualize the activity of multiple gene programs simultaneously ...
I'm trying to use your UMAP code as it was incorporated into the ImageJ plugin "Dimensionality Reduction." Specifically I am trying to run different metrics on my dataset. However I cannot find a ...
When you drill down into the very fabric of reality—where elementary particles make up the matter that is you and me and everything around us in three-dimensional space—things get divided nicely into ...
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 ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
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