Same as Significance A, but intensity-dependent. For details see Cox and Mann (2008) Nat. Biotech. 26, 1367-72.
Output: A numerical column is added containing the significance A value. Furthermore, a categorical column is added indicating by '+' if a row is significant.
Selected expression columns containing the ratios for which “Significance B” should be calculated (default: no columns are selected).
Hint:The number of selected ratio columns must be the same as the number of selected intensity columns.
Selected expression/numerical columns containing the intensities for which “Significance B” should be calculated (default: no columns are selected).
Hint:The number of selected intensity columns must be the same as the number of selected ratio columns.
To apply a two-sided test, where the null hypothesis can be rejected regardless of the direction of the effect “both” has to be selected (default). “left” and “right” are the respective one-sided tests.
The truncation can be based on p-values or the Benjamini-Hochberg correction for multiple hypothesis testing (default: Benjamini-Hochberg FDRFalse Discovery Rate). Rows with a test result below a specified value (parameter below) are reported as significant.
Based on a specified threshold a specific row is reported as significant (default: 0.05). Depending on the chosen truncation score this threshold value is applied to the p-value or to the Benjamini-Hochberg FDR.