# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "glystats" in publications use:' type: software license: MIT title: 'glystats: Statistical Analysis of Glycoproteomics and Glycomics Data' version: 0.10.1 doi: 10.32614/CRAN.package.glystats abstract: Provides a unified toolbox for bioinformatics analyses of glycomics and glycoproteomics data. Implemented methods include differential testing (t-test, Wilcoxon rank-sum test, ANOVA, Kruskal–Wallis), multivariate modeling and visualization (PCA, t-SNE, UMAP), supervised learning (PLS-DA, OPLS-DA), clustering (k-means, hierarchical, consensus clustering), network analysis (weighted gene co-expression network analysis, WGCNA), survival modeling (Cox proportional hazards), enrichment analysis, correlation analysis, and ROC/AUC evaluation. All user-facing functions follow the gly_*() naming convention to facilitate auto-completion in RStudio. The package is designed to work seamlessly with 'glyexp' and tidy data workflows. authors: - family-names: Fu given-names: Bin email: 23110220018@m.fudan.edu.cn orcid: https://orcid.org/0000-0001-8567-2997 repository: https://glycoverse.r-universe.dev commit: a2bbb687a5d870c5609e4763ff5ffca9bd133ff8 url: https://glycoverse.github.io/glystats/ date-released: '2026-05-20' contact: - family-names: Fu given-names: Bin email: 23110220018@m.fudan.edu.cn orcid: https://orcid.org/0000-0001-8567-2997