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celliverse  

An Ecosystem for Exploring the Universe of Single-Cell Data
View on CRAN: Click here


Download and install celliverse package within the R console
Install from CRAN:
install.packages("celliverse")

Install from Github:
library("remotes")
install_github("cran/celliverse")

Install by package version:
library("remotes")
install_version("celliverse", "0.0.2")



Attach the package and use:
library("celliverse")
Maintained by
Adrian Salavaty
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-12
Latest Update: 2026-09-12
Description:
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.
How to cite:
Adrian Salavaty (2026). celliverse: An Ecosystem for Exploring the Universe of Single-Cell Data. R package version 0.0.2, https://cran.r-project.org/web/packages/celliverse. Accessed 22 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited celliverse R package
View celliverse citation profile
Other R packages that celliverse depends, imports, suggests or enhances
Complete documentation for celliverse
Functions, R codes and Examples using the celliverse R package
Full celliverse package functions and examples
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