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