The goal of glystats is to perform statistical analysis on glycoproteomics and glycomics data. It works seamlessly with the glyexp package.
You can install the latest release of glystats from r-universe (recommended):
# install.packages("pak")
pak::repo_add(glycoverse = "https://glycoverse.r-universe.dev")
pak::pkg_install("glystats")Or from GitHub:
pak::pkg_install("glycoverse/glystats@*release")Or install the development version (NOT recommended):
pak::pkg_install("glycoverse/glystats")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.
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.