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glystats

The goal of glystats is to perform statistical analysis on glycoproteomics and glycomics data. It works seamlessly with the glyexp package.

Installation

You can install the latest release of glystats from GitHub with:

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

Or install the development version:

pak::pak("glycoverse/glystats")

Documentation

  • 🚀 Get started: Here
  • 📚 Reference: Here

Role in glycoverse

glystats is the downstream analysis package in the glycoverse ecosystem. It provides statistical analysis functions for glyexp::experiment() objects. A common workflow is to use glyread to import data, glyclean to preprocess data, and then glystats to perform statistical analysis.

Example

Say we already have a preprocessed experiment object called exp:

# Two-sample t-test
ttest_res <- gly_ttest(exp)

# PCA analysis
pca_res <- gly_pca(exp)

# ROC analysis
roc_res <- gly_roc(exp)

That’s it! These functions use glycoverse column conventions to load needed data and perform analysis. All functions start with gly_ to leverage the auto-completion in RStudio. They accept an glyexp::experiment() object, and return analysis result as a tibble or a list of tibbles. See documentation for each function for more details.