assign_shared_feature

The function assigns non-unique candidate feature genes as shared feature genes into unique feature gene sets

Cluster-independent method based on topology structure of gene co-expression network for identifying feature gene sets, extracting cellular subpopulations, and elucidating intrinsic relationships among these subpopulations. Without prior cell clustering, SifiNet circumvents potential inaccuracies in clustering that may influence subsequent analyses. This method is introduced in Qi Gao, Zhicheng Ji, Liuyang Wang, Kouros Owzar, Qi-Jing Li, Cliburn Chan, Jichun Xie "SifiNet: a robust and accurate method to identify feature gene sets and annotate cells" (2024) <doi:10.1093/nar/gkae307>.

Qi Gao

SiFINeT

Single Cell Feature Identification with Network Topology

assign_shared_feature function

<dl><dt>so</dt>
<dd>a SiFINeT object</dd>
<dt>min_edge_prop</dt>
<dd>minimum proportion of edges between a gene and a unique feature gene set for the new gene to be assigned to the set</dd></dl>

Arguments

assign_shared_feature — assign_shared_feature

<dl>

<dt>so</dt>
<dd>a SiFINeT object</dd>


<dt>min_edge_prop</dt>
<dd>minimum proportion of edges between a gene and a unique feature gene set for the new gene to be assigned to the set</dd>

</dl>

assign_shared_feature: assign_shared_feature

Description

Usage

Value

Arguments

Details