Single Cell Poisson Probability Paradigm

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.


Reference manual

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install.packages("scpoisson")

0.0.2 by Yue Pan, 10 months ago


Browse source code at https://github.com/cran/scpoisson


Authors: Yue Pan [aut, cre] , Justin Landis [aut] , Dirk Dittmer [aut] , James S. Marron [aut] , Di Wu [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, glmpca, Seurat, magrittr, dplyr, tidyr, purrr, Matrix, Rdpack, SeuratObject, WGCNA, broom, stats, methods, matrixStats

Suggests renv, testthat, vdiffr, rmarkdown, knitr, qpdf


See at CRAN