intSEQ.DGEList <-
function(count.data, nullcondition = NULL,nneighbour=400,lambda1 =ncol(count.data),lambda2 =0.05,meanmeth=c("estimator","local.mean")
,smoothmethod = c("loess","spline","no"),normalize=TRUE, offsets = NULL, weights = NULL, constadj=FALSE, w1=max(1-ncol(count.data)/100, 0)
,w2=max(1-ncol(count.data)/1000, 0),...){
count=count.data$counts
condition=as.data.frame(count.data$samples$group)
pv=intSEQ.default(count, condition, nullcondition, nneighbour,lambda1,lambda2,meanmeth
,smoothmethod,normalize, offsets, weights, constadj,w1,w2)
pv
}
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