| combineInteractionChangedGenes | R Documentation | 
Combine ICG scores in a pairwise manner.
combineInteractionChangedGenes(
  cpgObject,
  selected_ints = NULL,
  selected_genes = NULL,
  specific_genes_1 = NULL,
  specific_genes_2 = NULL,
  min_cells = 5,
  min_int_cells = 3,
  min_fdr = 0.05,
  min_spat_diff = 0,
  min_log2_fc = 0.5,
  do_parallel = TRUE,
  cores = NA,
  verbose = T
)
| cpgObject | ICG (interaction changed gene) score object | 
| selected_ints | subset of selected cell-cell interactions (optional) | 
| selected_genes | subset of selected genes (optional) | 
| specific_genes_1 | specific geneset combo (need to position match specific_genes_2) | 
| specific_genes_2 | specific geneset combo (need to position match specific_genes_1) | 
| min_cells | minimum number of target cell type | 
| min_int_cells | minimum number of interacting cell type | 
| min_fdr | minimum adjusted p-value | 
| min_spat_diff | minimum absolute spatial expression difference | 
| min_log2_fc | minimum absolute log2 fold-change | 
| do_parallel | run calculations in parallel with mclapply | 
| cores | number of cores to use if do_parallel = TRUE | 
| verbose | verbose | 
cpgObject that contains the filtered differential gene scores
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