sigp

This function returns a list with elements mainly generated from sigclust2.

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

sigp function

<dl><dt>test_dat</dt>
<dd>A UMI count matrix with samples as rows and features as columns.</dd>
<dt>minSize</dt>
<dd>Numeric, the minimal allowable cluster size (default 10).</dd>
<dt>sim</dt>
<dd>Numeric, the number of Monte Carlo simulations (default 100).</dd></dl>

Arguments

Significance for first split using sigclust2 — sigp

<dl>

<dt>test_dat</dt>
<dd>A UMI count matrix with samples as rows and features as columns.</dd>


<dt>minSize</dt>
<dd>Numeric, the minimal allowable cluster size (default 10).</dd>


<dt>sim</dt>
<dd>Numeric, the number of Monte Carlo simulations (default 100).</dd>

</dl>

sigp: Significance for first split using sigclust2

Description

Usage

Value

Arguments

Details

References