The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

A research team led by experts at the University of California, Riverside, has developed a computational workflow for analyzing massive data sets in metabolomics, the study of tiny chemicals found ...

Objective Patients with systemic lupus erythematosus (SLE) commonly develop lupus nephritis (LN), the most frequent severe ...

Background Metabolomics has potential to highlight novel pathways and biomarkers of interest to provide early warning signs of health problems, such as opportunistic infection susceptibility among ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...