Perform Differential Expression Analysis (DEA) on high-dimensional cytometry data
Source:R/differential_discovery.R
tof_analyze_expression.RdThis function performs differential expression analysis on the cell clusters
contained within a `tof_tbl` using one of three methods
("diffcyt", "glmm", and "ttest"). It wraps the members of the `tof_analyze_expression_*`
function family: tof_analyze_expression_diffcyt,
tof_analyze_expression_lmm, and tof_analyze_expression_ttest.
Usage
tof_analyze_expression(tof_tibble, method = c("diffcyt", "glmm", "ttest"), ...)Arguments
- tof_tibble
A `tof_tbl` or a `tibble`.
- method
A string indicating which statistical method should be used. Valid values include "diffcyt", "lmm", and "ttest".
- ...
Additional arguments to pass onto the `tof_analyze_expression_*` function family member corresponding to the chosen method.
Value
A tibble or nested tibble containing the differential abundance results
from the chosen method. See tof_analyze_expression_diffcyt,
tof_analyze_expression_lmm, and tof_analyze_expression_ttest for details.
See also
Other differential expression analysis functions:
tof_analyze_expression_diffcyt(),
tof_analyze_expression_lmm(),
tof_analyze_expression_ttest()