Description Usage Arguments Value Examples
Calculates CN values for given list of transcripts, uses standard values to increase speed: median; wilcoxon; difference
1 | getTxValuesFast(data, ctrl, ctrlAll, tx, arrayType = "auto")
|
data |
input data |
ctrl |
control data |
ctrlAll |
CN data of all control samples |
tx |
vector of list of transcripts |
arrayType |
"auto","450k", "EPIC"; auto -> tries to automatically determine the array type (450k, EPIC) |
list with tx-names, p-values and used statistical test
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | data <- data.frame(
smp1=c(-8.12, -5.225, -3.24, -3.61),
smp2=c(-5.0, -3.98, -4.06, -4.5),
smp3=c(NA, -2.48, -2.27, -2.1)
)
ctrlAll <- data.frame(
ctl1=c(1.0, -3.6, 0.7, -0.73),
ctl2=c(-0.4, -4.1, -4.2, -3.9),
ctl2=c(0.74, -1.12, -2.8, -1.67)
)
rownames(data) <- c(
"cg05132306", "cg15527168",
"cg17434257", "cg17592667"
)
rownames(ctrlAll) <- rownames(data)
ctrl <- apply(ctrlAll, 1, "median")
names(ctrl) <- rownames(data)
getTxValues(data, ctrl, ctrlAll, "uc001aih.1", arrayType="450k")
|
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