Archetypal analysis has emerged as a robust statistical tool that encapsulates complex data sets by identifying extreme cases – or archetypes – that define the convex boundaries of the data space.

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

In a recent article published in Science Advances, researchers conducted an in-depth study on the development and characterization of two-dimensional silk fibroin films derived from the natural silk ...

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...