Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

Metabolomics has experienced significant growth and increased popularity due to technological advancements. We introduced an integrated tool for untargeted metabolomics analysis, SMART 1.0, that ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Welcome to the 14th Cochrane Methods report compiled by the Central Executive Team to provide an overview of the key methodological activities in Cochrane for 2024–2025. The report highlights the ...

During last year’s presidential debate between Donald Trump and Kamala Harris, Trump said violent crime was rising. ABC moderator David Muir immediately fact-checked him, claiming, “President Trump, ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

MUUMI is an R package designed to enable the integration and interpretation of multi-omics data by combining statistical meta-analysis with network-based methodologies. It enables robust ...

The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and ...