simNewLocs

Fit the marginal distributions for single gene

An independent, reproducible, and flexible Spatially Resolved Transcriptomics (SRT) simulation framework that can be used to facilitate the development of SRT analytical methods for a wide variety of SRT-specific analyses. It utilizes spatial localization information to simulate SRT expression count data in a reproducible and scalable fashion. Two major simulation schemes are implemented in 'SRTsim': reference-based and reference-free.

Jiaqiang Zhu

SRTsim

Simulator for Spatially Resolved Transcriptomics

Lulu Shang

Xiang Zhou

simNewLocs function

<dl><dt>newN</dt>
<dd>A integer specifying the number of spatial locations in the synthetic data</dd>
<dt>lay_out</dt>
<dd>A character string specifying arrangement of new generated spatial locations. Default is "grid"</dd>
<dt>preLoc</dt>
<dd>A data frame of shape n by 3 that x, y coodinates and domain label</dd></dl>

Arguments

Fit the marginal distributions for single gene — simNewLocs

<dl>

<dt>newN</dt>
<dd>A integer specifying the number of spatial locations in the synthetic data</dd>


<dt>lay_out</dt>
<dd>A character string specifying arrangement of new generated spatial locations. Default is "grid"</dd>


<dt>preLoc</dt>
<dd>A data frame of shape n by 3 that x, y coodinates and domain label</dd>

</dl>

simNewLocs: Fit the marginal distributions for single gene

Description

Usage

Value

Arguments