sample.spatial.kld

this function is called by 'compute.spatial.kld' to calculate the kl-divergence between
cell-weighted with shuffled weight vector and the ref (all cells, unweighted)

Analysis frameworks for pathway heterogeneity and pathway activity evaluation in single-cell data, including scRNA-seq data and spatial genomics data.

Qingnan, Liang 

gsdensity

Density-Based Gene Set Specificity Evaluation

Ken Chen

sample.spatial.kld function

<dl><dt>weight_vec</dt>
<dd>weight_vec</dd>
<dt>spatial.coords</dt>
<dd>spatial.coords</dd>
<dt>n</dt>
<dd>n</dd>
<dt>ref</dt>
<dd>ref</dd></dl>

Arguments

this function is called by 'compute.spatial.kld' to calculate the kl-divergence between
cell-weighted with shuffled weight vector and the ref (all cells, unweighted) — sample.spatial.kld

<dl>

<dt>weight_vec</dt>
<dd>weight_vec</dd>


<dt>spatial.coords</dt>
<dd>spatial.coords</dd>


<dt>n</dt>
<dd>n</dd>


<dt>ref</dt>
<dd>ref</dd>

</dl>

this function is called by 'compute.spatial.kld' to calculate the kl-divergence between
cell-weighted with shuffled weight vector and the ref (all cells, unweighted)

sample.spatial.kld: this function is called by 'compute.spatial.kld' to calculate the kl-divergence between cell-weighted with shuffled weight vector and the ref (all cells, unweighted)

Description

Usage

Value

Arguments