load(".RData")
library(Rcppsva)
library(doMC)
##########################################
# Test correlated matrix list calculation
##########################################
rawCluster <- split(names(cluster), cluster)
combIndex <- which(sapply(rawCluster, function(c) length(c) > 1))
multClust <- rawCluster[combIndex]
pos <- BED[,2]
names(pos) <- rownames(BED)
registerDoMC(cores = detectCores())
start <- Sys.time()
corrmatrix <- llply(multClust, .fun = function(ix){
dist <- abs(outer(pos[ix], pos[ix], "-"))
colnames(dist) <- rownames(dist) <- ix
cor(t(mset.ComBat[ix,]), method = "spearman") * (dist <= 1000)
}, .parallel = TRUE)
end <- Sys.time()
cat(sprintf("Time elasped = %f mins On %d cores \n", end - start, detectCores()))
## cluster by Dbpmerge
## test on 16 cores ~
corregions <- Dbpmerge(corrmatrix, merge = "average", cutoff = 0.8)
save.image(file = ".RData")
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