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scpoisson
View on CRAN: Click
here
Download and install scpoisson package within the R console
Install from CRAN:
install.packages("scpoisson")
Install from Github:
library("remotes")
install_github("cran/scpoisson") Install by package version:
library("remotes")
install_version("scpoisson", "0.0.2") Attach the package and use:
library("scpoisson")
Maintained by
Yue Pan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-17
Latest Update: 2022-08-17
Description:
Useful to visualize the Poissoneity (an independent Poisson statistical framework,
where each RNA measurement for each cell comes from its own independent Poisson distribution) of
Unique Molecular Identifier (UMI) based single cell RNA sequencing (scRNA-seq) data, and explore
cell clustering based on model departure as a novel data representation.
How to cite:
Yue Pan (2022). scpoisson: Single Cell Poisson Probability Paradigm. R package version 0.0.2, https://cran.r-project.org/web/packages/scpoisson. Accessed 08 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 0.0.1 (2022-08-17 08:50)
Other packages that cited scpoisson R package
View scpoisson citation profile
Other R packages that scpoisson depends,
imports, suggests or enhances
Complete documentation for scpoisson
Functions, R codes and Examples using
the scpoisson R package
Some associated functions: HclustDepart . LouvainDepart . adj_CDF_logit . clust_clean . cluster_size . diff_gene_list . fwer_cutoff-generic . fwer_cutoff-matrix . fwer_cutoff-shc . get_example_data . interpolate . logit . nboot_small . new_quantile . new_quantile_pois . para_est_new . qq_interpolation . qqplot_env_pois . qqplot_small_test . scpoisson-package . scppp . sigp . theme_dirk .
Some associated R codes: LouvainDepart.R . Object_representation.R . data_representation.R . differential_expression.R . hclustDepart.R . print.R . qq_env_small.R . scpoisson-package.R . utils.R . Full scpoisson package functions and examples
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