| FilterCCI | R Documentation | 
Filtering (and ORA) is performed with new parameter on an existing
scDiffCom object. The slots cci_table_detected and
ora_table are updated accordingly.
FilterCCI(
  object,
  new_threshold_quantile_score = NULL,
  new_threshold_p_value_specificity = NULL,
  new_threshold_p_value_de = NULL,
  new_threshold_logfc = NULL,
  skip_ora = FALSE,
  extra_annotations = NULL,
  verbose = TRUE
)
## S4 method for signature 'scDiffCom'
FilterCCI(
  object,
  new_threshold_quantile_score = NULL,
  new_threshold_p_value_specificity = NULL,
  new_threshold_p_value_de = NULL,
  new_threshold_logfc = NULL,
  skip_ora = FALSE,
  extra_annotations = NULL,
  verbose = TRUE
)
| object | 
 | 
| new_threshold_quantile_score | New threshold value to update
 | 
| new_threshold_p_value_specificity | New threshold value to update
 | 
| new_threshold_p_value_de | New threshold value to update
 | 
| new_threshold_logfc | New threshold value to update
 | 
| skip_ora | Default is  | 
| extra_annotations | Convenience parameter to perform ORA on user-defined
non-standard categories. If  | 
| verbose | If  | 
When FilterCCI is called with new parameters, both
cci_table_detected and ora_table are updated. For
ORA, a call to RunORA is automatically performed on all standard
categories. Additional user-defined ORA categories can be added via the
parameter extra_annotations. The data.frames or data.tables in this
list must have exactly two columns that indicates a relationship between
values from a standard category (first column) to values of the new
category (second column). As a typical example, this
vignette
shows how to perform ORA on cell type families attached to each cell type.
A scDiffCom object with updated results in cci_table_detected
and ora_table.
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