This function computes a similarity matrix by utilising a single linear model for differential expression analysis.
Usage
calculateDistMatOneModel(
matrix,
metadata,
verbose = TRUE,
method = "voom",
additional.variate = NULL
)
Arguments
- matrix
A count matrix with rows representing genes or features and columns representing samples or cells.
- metadata
A data frame containing metadata corresponding to the samples or cells. Each row should match a column in
matrix
.- verbose
Logical. If
TRUE
, the function displays progress messages and a progress bar. The default isTRUE
.- method
A character string specifying the method for differential expression analysis. Options are "voom" or "trend", with "trend" as the default.
- additional.variate
A character vector of additional variates to include in the linear model for regression.