qq_interpolation

This function returns a data frame with paired quantiles in two samples after interpolation.

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

qq_interpolation function

<dl><dt>dfp</dt>
<dd>A data frame generated from function new_quantile() based on a specific distribution.</dd>
<dt>dfq</dt>
<dd>Another data frame generated from function new_quantile() based on a specific distribution.</dd>
<dt>sample1</dt>
<dd>A character to denote sample name of distribution used to generate <code>dfp</code>.</dd>
<dt>sample2</dt>
<dd>A character to denote sample name of distribution used to generate <code>dfq</code>.</dd></dl>

Arguments

Paired quantile after interpolation between two samples — qq_interpolation

<dl>

<dt>dfp</dt>
<dd>A data frame generated from function new_quantile() based on a specific distribution.</dd>


<dt>dfq</dt>
<dd>Another data frame generated from function new_quantile() based on a specific distribution.</dd>


<dt>sample1</dt>
<dd>A character to denote sample name of distribution used to generate <code>dfp</code>.</dd>


<dt>sample2</dt>
<dd>A character to denote sample name of distribution used to generate <code>dfq</code>.</dd>

</dl>

qq_interpolation: Paired quantile after interpolation between two samples

Description

Usage

Value

Arguments

Details