cal_coexp_sp

cal_coexp_sp
This function calculates the coexpression patterns between genes
in sparse matrix and returns the coexpression matrix.

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

cal_coexp_sp function

<dl><dt>X</dt>
<dd>Input binarized cell (row) by gene (column) sparse matrix</dd></dl>

Arguments

Author

cal_coexp_sp
This function calculates the coexpression patterns between genes
in sparse matrix and returns the coexpression matrix. — cal_coexp_sp

<dl>

<dt>X</dt>
<dd>Input binarized cell (row) by gene (column) sparse matrix</dd>

</dl>

cal_coexp_sp: cal_coexp_sp This function calculates the coexpression patterns between genes in sparse matrix and returns the coexpression matrix.

Description

Usage

Value

Arguments

Author