MetaProViz: METabolomics pre-PRocessing, functiOnal analysis and VIZualisation
This is the second package release V2.0.1. where we did:
- PoolEstimation: PCA plots are now saved
- PreProcessing: For CoRe data where all blank samples of a feature are NA/0, MVI is not performed but true 0 is considered.
MetaProViz can analyse standard metabolomics and exometabolomics data (CoRe). It performs pre-processing including feature filtering, missing value imputation, normalisation and outlier detection. It perform functional analysis including differential metabolite analysis (DMA), clustering based on regulatory rules (MCA) and contains different visualisation methods to extract biological interpretable graphs and saves them in a publication ready format.