This package provides a user-friendly function to perform PCA-based a priori based feature-clustering. Example data and my example pipeline are provided as used in Sex modulates the diet-induced changes to the plasma lipidome in a rat model of cardiorespiratory fitness.
This package is not frequently updated. Please contact that author for help or to address bugs.
First, download and install R and RStudio:
Then, open RStudio and install the devtools package
install.packages("devtools")
Finally, install the featureReduction package
library(devtools)
devtools::install_github("johanna0321/featureReduction")
The following are included in the package and documentation is accessible using the help() function or ? help operator
Data:
rat_lipidomics_day0
rat_lipidomics_day3
rat_lipidomics_day14
rat_lipidomics_group_key
rat_meta_data
Functions:
reduce_features_by_pca()