The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Giving students a peek at the math under the hood of AI can help them understand the potential power and pitfalls of the ...

A data scientist uses mathematics, coding, and industry knowledge to extract insights from complex datasets. They interpret ...

This e-book explores the origins of U.S. executive pay practices and the shortcomings of the measures commonly used to guide ...

Vanguard U.S. Momentum Factor ETF shows potential despite recent volatility. Learn why VFMO remains a buy with strong ...

Abstract: For the online distributed estimation problem of time-varying parameters, we study a linear regression model with measurement noises over time-varying random graphs. We propose a distributed ...

Delayed esophageal transit on scintigraphy among patients with SSc is linked to a more severe disease phenotype.

Supply chains are inherently graph-like ... six supply chain analytics tasks. Our analysis shows that GNN-based models consistently outperform statistical ML and other deep learning models by around ...