Cardinal is an R package that implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.

NEWS

  • May 4, 2016Cardinal 1.4 is available on Bioconductor 3.3
  • December 16, 2015Cardinal 1.3 is available on Github with *experimental* support for:
    • Working with larger-than-memory datasets on disk
    • 3D imaging datasets
    • imzML ‘processed’ format
  • June 10, 2015Cardinal wins the John M. Chambers Statistical Software Award 2015 presented by the American Statistical Association

DATA FORMATS

FEATURES

  • Visualization of mass spectra and molecular ion images
  • Pre-processing including normalization, baseline correction, peak-picking and alignment
  • Principal components analysis (PCA)
  • Partial least squares discriminant analysis (PLS-DA)
  • Classification based on regularized nearest shrunken centroids
  • Spatial segmentation via regularized nearest shrunken centroid clustering

CITING CARDINAL