# generic cornucopia S4
setGeneric ( name= "naten" )
setGeneric ( name= "betaqn" )
setGeneric ( name= "nanet" )
setGeneric ( name= "nanes" )
setGeneric ( name= "nasen" )
setGeneric ( name= "danes" )
setGeneric ( name= "danet" )
setGeneric ( name= "daten1" )
setGeneric ( name= "daten2" )
setGeneric ( name= "dasen" )
setGeneric ( name= "danen" )
setGeneric ( name= "tost" )
setGeneric ( name= "fuks" )
setGeneric ( name= "swan" )
setGeneric ( name= "colnames" )
setGeneric ( name= "pfilter" )
setGeneric ( name= "genki" )
setGeneric ( name= "seabi" )
setGeneric ( name= "dmrse" )
setGeneric ( name= "dmrse_row" )
setGeneric ( name= "dmrse_col" )
setGeneric ( name= "BMIQ" )
setGeneric ( name= "bscon" )
#setGeneric ( name= "as.methylumi" )
setGeneric ( name= "outlyx" )
setGeneric ( name= "pwod" )
setGeneric ( name= "agep" )
setGeneric ( name= "uSexQN" )
setGeneric ( name= "estimateCellCounts.wmln" )
# S3 generics to work with gds (bigmelon)
epicv2clean <- function(x){
UseMethod('epicv2clean', x)
}
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