Package: glystats 0.13.0

Bin Fu

glystats: Statistical Analysis of Glycoproteomics and Glycomics Data

Provides a unified toolbox for bioinformatics analyses of glycomics and glycoproteomics data. Implemented methods include differential testing (independent and paired t-tests, Wilcoxon tests, one-way and repeated-measures ANOVA, Kruskal–Wallis and Friedman tests), formula-based moderated linear models, correlated-set Hotelling tests, multivariate modeling and visualization (PCA, t-SNE, UMAP), supervised learning (PLS-DA, OPLS-DA), clustering (k-means, hierarchical), survival modeling (Cox proportional hazards), correlation analysis, and ROC/AUC evaluation. All user-facing functions follow the gly_*() naming convention to facilitate auto-completion in RStudio. Analysis functions accept 'glyexp' 'GlycomicSE', 'GlycoproteomicSE', and 'SummarizedExperiment' objects as their unified data interface.

Authors:Bin Fu [aut, cre]

glystats_0.13.0.tar.gz
glystats_0.13.0.zip(r-4.7-any)glystats_0.13.0.zip(r-4.6-any)glystats_0.13.0.zip(r-4.5-any)
glystats_0.13.0.tgz(r-4.6-any)glystats_0.13.0.tgz(r-4.5-any)
glystats_0.13.0.tar.gz(r-4.7-any)glystats_0.13.0.tar.gz(r-4.6-any)
glystats_0.13.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glystats/json (API)

# Install 'glystats' in R:

install.packages('glystats', repos = c('https://glycoverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/glycoverse/glystats/issues

Pkgdown/docs site:https://glycoverse.github.io

On CRAN:

4.82 score 2 packages 3 scripts 22 exports 50 dependencies

Last updated from:683d181aee (on v0.13.0). Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	305
source / vignettes	OK	311
linux-release	OK	288
macos-release	OK	202
macos-oldrel	OK	150
windows-devel	OK	213
windows-release	OK	239
windows-oldrel	OK	218
wasm-release	OK	159

Exports:filter_sig_vars get_raw_result get_tidy_result gly_ancova gly_anova gly_cor gly_cox gly_fold_change gly_hclust gly_kmeans gly_kruskal gly_limma gly_linear_model gly_oplsda gly_pca gly_plsda gly_roc gly_set_test gly_tsne gly_ttest gly_umap gly_wilcox

Dependencies:abind backports Biobase BiocGenerics broom checkmate cli cpp11 DelayedArray dplyr generics GenomicRanges glue glyexp glyrepr hms igraph IRanges janitor lattice lifecycle lubridate magrittr Matrix MatrixGenerics matrixStats pillar pkgconfig purrr R6 Rcpp rlang rstackdeque S4Arrays S4Vectors Seqinfo snakecase SparseArray stringi stringr SummarizedExperiment survival tibble tidyr tidyselect timechange utf8 vctrs withr XVector

Getting Started with glystats

Explore the data | Use a consistent interface | Work with the results | Available analyses

Rendered fromglystats.Rmdusingknitr::rmarkdown

Last update: 2026-08-25
Started: 2025-07-24

Help page	Topics
Filter Significant Variables	filter_sig_vars filter_sig_vars.glystats_ancova_res filter_sig_vars.glystats_anova_res filter_sig_vars.glystats_kruskal_res filter_sig_vars.glystats_limma_res filter_sig_vars.glystats_linear_model_res filter_sig_vars.glystats_ttest_res filter_sig_vars.glystats_wilcox_res
Get the result of a glystats analysis	get_raw_result get_tidy_result
Analysis of Covariance (ANCOVA) for Differential Expression Analysis	gly_ancova
One-way or Repeated-Measures ANOVA for Differential Expression Analysis	gly_anova
Correlation Analysis for Glycomics and Glycoproteomics Data	gly_cor
Cox Proportional Hazards Model for Survival Analysis	gly_cox
Calculate fold change	gly_fold_change
Hierarchical Clustering for Glycomics and Glycoproteomics Data	gly_hclust
K-means Clustering for Glycomics and Glycoproteomics Data	gly_kmeans
Kruskal-Wallis or Friedman Test for Differential Expression Analysis	gly_kruskal
Linear Models for Differential Expression Analysis using limma	gly_limma
Formula-based Linear Models	gly_linear_model
Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA)	gly_oplsda
Principal Component Analysis (PCA)	gly_pca
Partial Least Squares Discriminant Analysis (PLS-DA)	gly_plsda
ROC Analysis for Glycomics and Glycoproteomics Data	gly_roc
Construct and Test Correlated Variable Sets	gly_set_test
t-Distributed Stochastic Neighbor Embedding (t-SNE)	gly_tsne
T-test for Differential Expression Analysis	gly_ttest
Uniform Manifold Approximation and Projection (UMAP)	gly_umap
Wilcoxon Test for Differential Expression Analysis	gly_wilcox

Package: glystats 0.13.0

glystats: Statistical Analysis of Glycoproteomics and Glycomics Data

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Help Manual

Usage by other packages (reverse dependencies)