CombineInteractions: Combine pdCor output
In tallulandrews/scTarNet: Single-cell Targetted Network Inference

Description Usage Arguments Details Value Examples

Combines output from calculateConditionalCors for multiple batches/normalizations.

1	combineInteractions(list_of_interaction_tables)

list_of_interaction_tables

list of output from calculateConditionalCors

Counts the number of times TF-TF interactions were inferred across multiple batches or normalizations. And counts the number of times each TF-TF-Target trio was inferred across multiple batches.

list containing two tables : pair2consists with columns "TF1", "TF2", "recurr" pair2targets with columns "TF1", "TF2", "Target", "recurr"

"recurr" is the number of batches the relationship was obsered in.

	set.seed(13)
	batchA_output <- data.frame(
		TF1=sample(c("A", "B", "C", "D"), 50, replace=TRUE),
		TF2=sample(c("A", "B", "C", "D"), 50, replace=TRUE),
		Target=sample(c("E", "F", "G", "E", "F"), 50, replace=TRUE)
		)
	batchA_output <- list(Int=unique(batchA_output))


	batchB_output <- data.frame(
		TF1=sample(c("A", "B", "C", "D"), 50, replace=TRUE),
		TF2=sample(c("A", "B", "C", "D"), 50, replace=TRUE),
		Target=sample(c("E", "F", "G", "E", "F"), 50, replace=TRUE)
		)
	batchB_output <- list(Int=unique(batchB_output))

	consensus <- combineInteractions(list(batchA_output, batchB_output));