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  "Description": "Provides a unified toolbox for bioinformatics analyses of\nglycomics and glycoproteomics data. Implemented methods include\ndifferential testing (t-test, Wilcoxon rank-sum test, ANOVA,\nKruskal–Wallis), multivariate modeling and visualization (PCA,\nt-SNE, UMAP), supervised learning (PLS-DA, OPLS-DA), clustering\n(k-means, hierarchical, consensus clustering), network analysis\n(weighted gene co-expression network analysis, WGCNA), survival\nmodeling (Cox proportional hazards), enrichment analysis,\ncorrelation analysis, and ROC/AUC evaluation. All user-facing\nfunctions follow the gly_*() naming convention to facilitate\nauto-completion in RStudio. The package is designed to work\nseamlessly with 'glyexp' and tidy data workflows.",
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