Description Usage Arguments Value Examples
btpredict
1 2 3 4 |
.Object |
the object |
.Object populated with the predictions
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | load(system.file("data", "allRBD.lst.RData", package="BubbleTree"))
btreepredictor <- new("BTreePredictor")
btreepredictor@config$cutree.h <- 0.15
high.ploidy <- rep(TRUE, length(allRBD.lst))
high.purity <- rep(TRUE, length(allRBD.lst))
high.ploidy[c("sam6",
"ovary.wgs",
"ovary.wes",
"TCGA-06-0145-01A-01W-0224-08",
"TCGA-13-1500-01A-01D-0472-01",
"TCGA-AO-A0JJ-01A-11W-A071-09")] <- FALSE
high.purity[c("sam6", "ovary.wgs", "ovary.wes")] <- FALSE
rbd <- allRBD.lst[["sam6"]]
btreepredictor@config$high.ploidy <- high.ploidy["sam6"]
btreepredictor@config$high.purity <- high.purity["sam6"]
btreepredictor <- loadRBD(btreepredictor, rbd)
btreepredictor@config$min.segSize <- ifelse(max(btreepredictor@rbd$seg.size,
na.rm=TRUE) < 0.4, 0.1, 0.4)
btreepredictor <- btpredict(btreepredictor)
cat(info(btreepredictor), "\n")
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