dot-combine_CORs_summary: Combine the summary of number of posCORs or negCORs from...

.combine_CORs_summaryR Documentation

Combine the summary of number of posCORs or negCORs from sample types

Description

This function combines the summary of number of posCORs or negCORs from sample types, using the CORs table generated from .EIF_correlation().

It should not be used directly, only inside .plot_Corr_RNAseq_TCGA_GTEX() function.

Usage

.combine_CORs_summary(COR_tbl1, sample_type1, COR_tbl2, sample_type2)

Arguments

COR_tbl1

a COR summary table of specific sample type EIF.cor.tumor[[2]]

sample_type1

the label of sample type where COR_df1 is derived from

COR_tbl2

a COR summary table of specific sample type EIF.cor.normal[[2]]

sample_type2

the label of sample type where COR_df2 is derived from

Value

a data frame with combined COR summary table

See Also

Other helper function for correlation analysis: .combine_CORs_list(), .get_cluster_genes(), .is_significant_correlation()

Examples

## Not run: 
.combine_CORs_summary(
COR_tbl1 = EIF.cor.tumor[[2]], sample_type1 = "tumor",
COR_tbl2 = EIF.cor.normal[[2]], sample_type2 = "normal")

## End(Not run)


a3609640/eIF4F.analysis documentation built on Jan. 2, 2023, 11:19 p.m.