new_scppp

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.

Yue Pan

scpoisson

Single Cell Poisson Probability Paradigm

Justin Landis

Dirk Dittmer

James S. Marron

Di Wu

new_scppp function

<dl><dt>data</dt>
<dd>A matrix or data frame containing the UMI counts.</dd>
<dt>sample</dt>
<dd>A character string indicates samples are stored in rows or columns.</dd></dl>

Arguments

Generate New scppp object — new_scppp

<dl>

<dt>data</dt>
<dd>A matrix or data frame containing the UMI counts.</dd>


<dt>sample</dt>
<dd>A character string indicates samples are stored in rows or columns.</dd>

</dl>

Generate New scppp object

new_scppp: Generate New scppp object

Description

Usage

Arguments