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 data matrix with samples to cluster as rows and features as columns.</dd>
<dt>minSize</dt>
<dd>A numeric value specifying the minimal allowable cluster size (the number of cells for the smallest cluster, default 10).</dd>
<dt>sim</dt>
<dd>A numeric value specifying the number of simulations during the Monte Carlo simulation procedure (default 100).</dd></dl>

Arguments

Significance for first split using sigclust2 — sigp

<dl>

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


<dt>minSize</dt>
<dd>A numeric value specifying the minimal allowable cluster size (the number of cells for the smallest cluster, default 10).</dd>


<dt>sim</dt>
<dd>A numeric value specifying the number of simulations during the Monte Carlo simulation procedure (default 100).</dd>

</dl>

sigp: Significance for first split using sigclust2

Description

Usage

Value

Arguments

Details

References