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scpoisson (version 0.0.2)

Single Cell Poisson Probability Paradigm

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.

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Version

Install

install.packages('scpoisson')

Monthly Downloads

157

Version

0.0.2

License

MIT + file LICENSE

Maintainer

Yue Pan

Last Published

December 20th, 2025

Functions in scpoisson (0.0.2)

sigp

Significance for first split using sigclust2
theme_dirk

Dirk theme ggplots
qq_interpolation

Paired quantile after interpolation between two samples
qqplot_env_pois

Q-Q plot comparing samples with a theoretical Poisson distribution
scpoisson-package

scpoisson: Single Cell Poisson Probability Paradigm
qqplot_small_test

Q-Q plot comparing two samples with small discrete counts
interpolate

Linear interpolation for one sample given reference sample
logit

Logit transformation
adj_CDF_logit

A novel data representation based on Poisson probability
clust_clean

Cluster label clean
cluster_size

Cluster size
diff_gene_list

Differential expression analysis
nboot_small

Random sample generation function to generate sets of samples from theoretical Poisson distribution.
new_quantile

A more "continuous" approximation of quantiles of samples with a few integer case
fwer_cutoff-matrix

get FWER from idx_hc attribute of shc object
new_quantile_pois

A more "continuous" approximation of quantiles from the theoretical Poisson distribution.
HclustDepart

Cluster cells in a recursive way
LouvainDepart

Louvain clustering using departure as data representation
new_scppp

Generate New scppp object
scppp

Generate New scppp object
fwer_cutoff-shc

get FWER cutoffs for shc object
fwer_cutoff-generic

return Family-Wise Error Rate (FWER) cutoffs
get_example_data

get example data
print.scppp

Print scppp objects
para_est_new

Parameter estimates based on two-way approximation