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Relabel the significance column in the DEP results data frame

Usage

recode_sig_col(res, pval_cutoff = 0.05, fc_cutoff = 1)

Arguments

res

Results data frame after DEP analysis.

pval_cutoff

The p.adj significance cutoff

fc_cutoff

The absolute log2 fold change significance cutoff

Value

The results data frame with adjusted significance column

Examples

se <- prepare_se(report.pg_matrix, expDesign)

#> Imputing along margin 1 (features/rows).
#> Warning: 36 rows with more than 50 % entries missing;
#>  mean imputation used for these rows
#> Cluster size 5548 broken into 2203 3345 
#> Cluster size 2203 broken into 1569 634 
#> Cluster size 1569 broken into 1504 65 
#> Cluster size 1504 broken into 645 859 
#> Done cluster 645 
#> Done cluster 859 
#> Done cluster 1504 
#> Done cluster 65 
#> Done cluster 1569 
#> Done cluster 634 
#> Done cluster 2203 
#> Cluster size 3345 broken into 2136 1209 
#> Cluster size 2136 broken into 1087 1049 
#> Done cluster 1087 
#> Done cluster 1049 
#> Done cluster 2136 
#> Done cluster 1209 
#> Done cluster 3345 
res <- get_DEPresults(se, type = 'all')
#> Tested contrasts: neg_ctrl_vs_motif1, neg_ctrl_vs_motif2, motif1_vs_motif2
res <- recode_sig_col(res, pval_cutoff = 0.01, fc_cutoff = 1)