print.SpaTopic

Provides a formatted summary of SpaTopic results when the object is printed.
This method displays key model metrics and explains how to access different components
of the model output.

A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>.

Xiyu Peng

SpaTopic

Topic Inference to Identify Tissue Architecture in Multiplexed
Images

print.SpaTopic function

<dl><dt>x</dt>
<dd>An object of class "SpaTopic" returned by the SpaTopic_inference function</dd>
<dt>...</dt>
<dd>Additional arguments passed to print methods (not used)</dd></dl>

Arguments

Print method for SpaTopic objects — print.SpaTopic

<dl>

<dt>x</dt>
<dd>An object of class "SpaTopic" returned by the SpaTopic_inference function</dd>


<dt>...</dt>
<dd>Additional arguments passed to print methods (not used)</dd>

</dl>

print.SpaTopic: Print method for SpaTopic objects

Description

Usage

Value

Arguments

Details

Examples