SEA performs simultaneous feature-set testing for (gen)omics data. It tests the unified null hypothesis and 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 a threshold." Family-wise error rate control is provided through use of closed testing with Simes test. There are some practical functions to play around with the pathways of interest.

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) <doi:10.1093/biomet/asz041> and for more information about the properties and performance of SEA procedure see Ebrahimpoor et al. (2019) <doi:10.1093/bib/bbz074>.

Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Martin Zaefferer,
Patrick Koch; Bug hunting and testing by Ayodele Fasika, Ashwin
Kumar, Prawyn Jebakumar
Slow Feature Analysis in R, ported to R based on the
matlab versions SFA toolkit 1.0 by Pietro Berkes and SFA
toolkit 2.8 by Wolfgang Konen for matlab.
'eta.R' 'gauss.R' 'lcov.R' 'nlRegress.R' 'sfa.R'
'sfaClassify.R' 'sfaCreate.R' 'sfaExecute.R' 'sfaExpand.R'
'sfaFileIO.R' 'sfaGetHf.R' 'sfaHelperFunctions.R'
'sfaParamBoot.R' 'sfaStep.R' 'sfaTimediff.R'

Slow Feature Analysis in R, ported to R based on the
matlab versions SFA toolkit 1.0 by Pietro Berkes and SFA toolkit
2.8 by Wolfgang Konen for matlab.

Slow Feature Analysis (SFA), ported to R based on
'matlab' implementations of SFA: 'SFA toolkit' 1.0 by Pietro Berkes and 'SFA toolkit'
2.8 by Wolfgang Konen.

Simulated Haploid Asexual Population Evolution
abind, graphics, sn, VGAM, evd, stats, utils, RSQLite, DBI,
foreach, parallel, doParallel