distance_results

A data frame with nearest distances for each reference cell

datasets

Analysis of spatial relationships between cell types in spatial transcriptomics data. Spatial proximity is a critical factor in cell-cell communication. The package calculates nearest neighbor distances between specified cell types and provides visualization tools to explore spatial patterns. Applications include studying cell-cell interactions, immune microenvironment characterization, and spatial organization of tissues.

Zixiang Wang

STDistance

Spatial Transcriptomics Distance Calculation and Visualization

Lei Yang

Zhaojian Liu

distance_results function

A data frame with 18 observations on the following 5 variables.<dl>
 <dt><code>Newbarcode</code></dt>
<dd>a character vector</dd> <dt><code>Epithelial_cells_A</code></dt>
<dd>a numeric vector</dd> <dt><code>Epithelial_cells_B</code></dt>
<dd>a numeric vector</dd> <dt><code>Epithelial_cells_C</code></dt>
<dd>a numeric vector</dd> <dt><code>Epithelial_cells_D</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

distance_results — distance_results

A data frame with 18 observations on the following 5 variables.<dl>
 <dt><code>Newbarcode</code></dt>
<dd>a character vector</dd>

 <dt><code>Epithelial_cells_A</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Epithelial_cells_B</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Epithelial_cells_C</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Epithelial_cells_D</code></dt>
<dd>a numeric vector</dd>

 
</dl>

distance_results: distance_results

Description

Usage

Arguments

Format

Details

References

Examples