seed.mat

4. compute label propagation from gene set to cells
this function is to form a 'seed matrix' used by the dRWR function (dnet R package);
the seed matrix is specifying which nodes are the sources for label propagation

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

seed.mat function

<dl><dt>gene_set</dt>
<dd>gene_set</dd>
<dt>graph.use</dt>
<dd>graph.use</dd></dl>

Arguments

4. compute label propagation from gene set to cells
this function is to form a 'seed matrix' used by the dRWR function (dnet R package);
the seed matrix is specifying which nodes are the sources for label propagation — seed.mat

<dl>

<dt>gene_set</dt>
<dd>gene_set</dd>


<dt>graph.use</dt>
<dd>graph.use</dd>

</dl>

4. compute label propagation from gene set to cells
this function is to form a 'seed matrix' used by the dRWR function (dnet R package);
the seed matrix is specifying which nodes are the sources for label propagation

seed.mat: 4. compute label propagation from gene set to cells this function is to form a 'seed matrix' used by the dRWR function (dnet R package); the seed matrix is specifying which nodes are the sources for label propagation

Description

Usage

Value

Arguments