sp_means_Rcpp

Calculate column-wise or row-wise mean

An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.

Wei Liu

PRECAST

Embedding and Clustering with Alignment for Spatial Omics
Datasets

Yi Yang

Jin Liu

sp_means_Rcpp function

<dl><dt>sp_data</dt>
<dd>A sparse matrix</dd>
<dt>rowMeans</dt>
<dd>A boolean value, whether to calculate row-wise mean</dd></dl>

Arguments

Calculate column-wise or row-wise mean — sp_means_Rcpp

<dl>

<dt>sp_data</dt>
<dd>A sparse matrix</dd>


<dt>rowMeans</dt>
<dd>A boolean value, whether to calculate row-wise mean</dd>

</dl>

sp_means_Rcpp: Calculate column-wise or row-wise mean

Description

Usage

Value

Arguments