zscoreUMI4C {UMI4Cats} | R Documentation |
Calculates the z-score and then they are converted into one-sided P-values and adjusted for multiple testing using the method of Benjamini and Hochberg
zscoreUMI4C( dds, padj_method = "fdr", zscore_threshold = 2, padj_threshold = 0.1 )
dds |
DDS object as generated by |
padj_method |
The method to use for adjusting p-values, see
|
zscore_threshold |
Numeric indicating the z-score threshold to use to define significant differential contacts. Default: 2. |
padj_threshold |
Numeric indicating the adjusted p-value threshold to use to define significant differential contacts. Default: 0.1. |
This function calculates the z-score for each fragment over all samples from the residuals of the symmetric monotone fit and the median absolute deviation (mad). Z-scores are then converted into one-sided P-values using the standard Normal cumulative distribution function, and these are adjusted for multiple testing using the method of Benjamini and Hochberg
DDS object with zscore,pvalue and padjusted assays