SpFilter

A function for filtering low expressed genes

Identifying spatially variable genes is critical in linking molecular cell functions with tissue phenotypes. This package implemented a granularity-based dimension-agnostic tool for the identification of spatially variable genes. The detailed description of this method is available at Wang, J. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023), <doi:10.1038/s41467-023-43256-5>).

Jinpu Li

GrabSVG

Granularity-Based Spatially Variable Genes Identifications

SpFilter function

<dl><dt>ExpMat_Sp</dt>
<dd>A sparse, N x M expression matrix in dgCMatrix class with N genes and M spots</dd>
<dt>Threshold</dt>
<dd>A threshold set to filter out genes with a total read count below this specified value</dd></dl>

Arguments

A function for filtering low expressed genes — SpFilter

<dl>

<dt>ExpMat_Sp</dt>
<dd>A sparse, N x M expression matrix in dgCMatrix class with N genes and M spots</dd>


<dt>Threshold</dt>
<dd>A threshold set to filter out genes with a total read count below this specified value</dd>

</dl>

SpFilter: A function for filtering low expressed genes

Description

Usage

Value

Arguments

Examples