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The goal of glystats is to perform statistical analysis onglycoproteomics and glycomics data. It works seamlessly with theglyexp package.

You can install the latest release of glystats fromGitHub with:

# install.packages("remotes")remotes::install_github("glycoverse/glystats@*release")

Or install the development version:

remotes::install_github("glycoverse/glystats")

• 🚀 Get started:Here
• 📚 Reference:Here

glystats is the downstream analysis package in theglycoverseecosystem. It provides statistical analysis functions forglyexp::experiment() objects. A common workflow is to useglyread to import data,glyclean to preprocess data,and thenglystats to perform statistical analysis.

Say we already have a preprocessed experiment object calledexp:

# Two-sample t-testttest_res<- gly_ttest(exp)# PCA analysispca_res<- gly_pca(exp)# ROC analysisroc_res<- gly_roc(exp)

That’s it! These functions useglycoverse column conventions to loadneeded data and perform analysis. All functions start withgly_ toleverage the auto-completion in RStudio. They accept anglyexp::experiment() object, and return analysis result as a tibble ora list of tibbles. See documentation for each function for more details.