An Ecosystem for Exploring the Universe of Single-Cell Data R package celliverse version 0.0.2 Contains functions for single-cell RNA sequencing data analysis. It provides core functionalities for clustering cells, identifying markers for predefined clusters, performing sub-clustering of major cell populations, and discovering markers within custom-selected subsets of cells. 'CelliVerse' also includes methods for analyzing cluster similarity and generating intuitive visualizations. Designed to be independent of library size and other sample- or cell-level confounding effects, 'CelliVerse' ensures reliable and interpretable results across a wide range of datasets. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The 'igraph' software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document. Software Depends: R (>= 4.1.0) Imports: Matrix, Seurat, SummarizedExperiment, scales, ggplot2, magrittr, igraph, cli, dplyr, data.table, stringr, tidyr, RColorBrewer, ggnewscale, patchwork, tidyselect, methods, Rcpp LinkingTo: Rcpp, RcppEigen Suggests: R.rsp, htmltools, knitr, rmarkdown, plumber, jsonlite, httr2, processx, later, promises, callr, httpuv, openssl, fs, svglite, zip, withr, SeuratObject, ComplexHeatmap, hdf5r, rstudioapi Adrian Salavaty <abbas.salavaty@gmail.com> Comprehensive R Archive Network (CRAN) Adrian Salavaty [aut, cre] (ORCID: <https://orcid.org/0000-0001-9320-5889>) GPL-3 2026-09-12 application/tgz https://CRAN.R-project.org/package=celliverse doi:10.32614/CRAN.package.celliverse en-US