Simultaneous Enrichment Analysis

SEA performs simultaneous feature-set testing for (gen)omics data. It tests the unified null hypothesis controls the family-wise error rate for all possible pathways. The unified null hypothesis is defined as: "The proportion of true features in the set is less than or equal to the threshold c", where c is selected by the user. Family-wise error rate control is provided through use of closed testing with Simes test. For more information on closed testing with Simes see Goeman et al. (2019) and for more information about the properties and performance of SEA procedure see Ebrahimpoor et al. (2019) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.1.1 by Mitra Ebrahimpoor, a year ago

Browse source code at

Authors: Mitra Ebrahimpoor

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on hommel, ggplot2

Suggests knitr, rmarkdown

See at CRAN