Cardinal
Cardinal is a mass spectrometry imaging toolbox for R providing efficient preprocessing, spatial segmentation, and statistical classification of imaging MS datasets. It serves workflows in proteomics, lipidomics, and spatial metabolomics research. Released in Bioconductor 3.23 (v3.14.0).
Cardinal
Version: 3.14.0 (Bioconductor 3.23)
Description: Cardinal is a comprehensive mass spectrometry imaging (MSI) toolbox providing statistical methods for the preprocessing, segmentation, and classification of MSI datasets. It supports large-scale imaging experiments with applications spanning proteomics, lipidomics, and spatial metabolomics.
- Efficient preprocessing pipeline for MSI data
- Spatial segmentation of tissue regions
- Statistical classification methods
- Applications in lipidomics, proteomics, and metabolomics
Biology Domain: Mass Spectrometry Imaging, Proteomics, Lipidomics, Spatial Metabolomics
Maintainer: Kylie Ariel Bemis, Northeastern University