correlateExpression: Correlate expression
In fungenomics/cytobox: A toolbox for analyzing single cell RNA-seq data

Description Usage Arguments Author(s) Examples

Compute a correlation matrix of gene expression. For matrices, this function will correlate the columns; for Seurat objects, this function automatically retrieves the cluster means of the provided genes using meanClusterExpression, and then correlates the cluster means.

1	correlateExpression(s1, s2, genes, from_sp, to_sp, return_input = FALSE)

`s1`	A Seurat object, or a gene x cluster/sample matrix giving mean cluster/sample expression for dataset 1. If a matrix, rownames should be gene symbols. This dataset will form the x-axis of the plot; column names will be pulled from the column names of this object.
`s2`	A Seurat object, or a gene x cluster/sample matrix giving mean cluster/sample expression for dataset 2. This dataset will form the y-axis of the plot; row names will be pulled from the column names of this object.
`genes`	Character vector of genes, in the same species as `s1`.
`from_sp`	Species of `s1`
`to_sp`	Species of `s2`. If different from `from_sp`, conversion of gene names will be handled automatically.
`method`	Character, one of "pearson", "kendall", "spearman", specifying the method to use for the correlations. Default: "spearman"

Selin Jessa

# Compute pairwise correlations between clusters in pbmc

# NOT RUN
# correlateExpression(s1 = pbmc,
#                     s2 = pbmc,
#                     genes = head(rownames(pbmc@raw.data), 100),
#                     from_sp = "hg",
#                     to_sp = "hg")