correlation

Computes Pearson's correlation between pairs of columns.
If one matrix is provided, the output is the pairwise correlations between its columns.
If two matrices are provided, the output is the pairwise correlations between their columns.

Analyzes spatial transcriptomic data using cells-by-genes and cell location matrices to find gene pairs that coordinate their expression between spatially adjacent cells. It enables quantitative analysis and graphical assessment of these cross-expression patterns. See Sarwar et al. (2025) <doi:10.1101/2024.09.17.613579> and <https://github.com/gillislab/CrossExpression/> for more details.

Ameer Sarwar

CrossExpression

Cross-Expression Analysis of Spatial Transcriptomics Data

Sarah Choi

Leon French

Jesse Gillis

correlation function

<dl><dt>matrix1</dt>
<dd>The first input matrix.</dd>
<dt>matrix2</dt>
<dd>The second input matrix (optional).</dd></dl>

Arguments

Computes Pearson's correlation between pairs of columns.
If one matrix is provided, the output is the pairwise correlations between its columns.
If two matrices are provided, the output is the pairwise correlations between their columns. — correlation

<dl>

<dt>matrix1</dt>
<dd>The first input matrix.</dd>


<dt>matrix2</dt>
<dd>The second input matrix (optional).</dd>

</dl>

Computes Pearson's correlation between pairs of columns.
If one matrix is provided, the output is the pairwise correlations between its columns.
If two matrices are provided, the output is the pairwise correlations between their columns.

correlation: Computes Pearson's correlation between pairs of columns. If one matrix is provided, the output is the pairwise correlations between its columns. If two matrices are provided, the output is the pairwise correlations between their columns.

Description

Usage

Value

Arguments