Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...

This is a simplified implementation of UMAP (Uniform Manifold Approximation and Projection), programmed from scratch and applied to GEO scRNA-seq data. A project assignment for BINF6250 (Algorithmic ...

Abstract: The increasing complexity and high dimensionality of datasets in various fields, such as genomics, image analysis, and natural language processing, have posed significant challenges for ...

Enteric methane from cow burps, which results from microbial fermentation of high-fiber feed in the rumen, is a significant contributor to greenhouse gas emissions. A promising strategy to address ...

Astrocytes are important regulators of blood flow and play a key role in the response to injury and disease in the central nervous system (CNS). Despite having an understanding that structural changes ...

Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...

Thirty years of functional neuroimaging have been accumulating a wealth of evidence of the intricate relationship between structure and function. However, potential overlap, independence, granularity ...

Despite the impressive success of deep learning techniques in various types of classification and prediction tasks, interpreting these models and explaining their predictions are still major ...