A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

SAN FRANCISCO, May 21, 2026 /PRNewswire/ -- Boldin, the retirement planning platform built to give people clarity and confidence over their financial future, today announces Social Security benefit ...

This research is financially supported by a Lundbeckfonden Fellowship (R272-2017-4345) and a European Research Council Grant (ERC-2020-StG-948788) awarded to M.G.A. L.B. is additionally funded by a ...

DREiMac is a library for topological data coordinatization, visualization, and dimensionality reduction. Currently, DREiMac is able to find topology-preserving representations of point clouds taking ...

Causal inference has been increasingly essential in modern observational studies with rich covariate information. However, it is often challenging to estimate the causal effect with high-dimensional ...

NIF is a mesh-agnostic dimensionality reduction paradigm for parametric spatial temporal fields. For decades, dimensionality reduction (e.g., proper orthogonal decomposition, convolutional ...

On Friday August 12, after months of political debate, the US House of Representatives approved the Inflation Reduction Act of 2022—or IRA—a week after the US Senate had done the same. The IRA is a ...

Topic modeling is an unsupervised machine learning technique that automatically identifies different topics present in a document (textual data). Data has become a key asset/tool to run many ...

Abstract: This paper introduces singular value decomposition (SVD), a major matrix decomposition technique. SVD serves as the underlining computational engine of many other techniques such as ...