decision_deseq2 {exomePeak2} | R Documentation |
Decision_dsresult
is an internal function used to summary the cut-off and the number of positive results used for DESeq2 result..
decision_deseq2( Inf_RES, log2FC_cut = 0, P_cut = 0.05, Padj_cut = NULL, Min_mod = 1000, Exp_dir = c("hyper", "hypo", "both") )
Inf_RES |
A |
log2FC_cut |
The log2 fold change cutoff of the inference result, default setting is 0. |
P_cut |
A numeric value between 0 to 1, indicating the p value cut off of the Wald test defined by DESeq2 (or defined by QNB), it will be neglected if |
Padj_cut |
A numeric value between 0 to 1, indicating the fdr cut off of the Wald test defined by DESeq2 (or defined by QNB). |
Min_mod |
Minimum number of features returned, when this is smaller than the cut-off results, additional features are called by the order of p values. |
Exp_dir |
This parameter is filled when making decisions on differential methylation, it could be "hyper", "hypo", and "both". |
A data.frame
object indicating the column and cut-off value used for desicion, also it includes the number of positive sites in both directions based on the decision.