Description Usage Format Source References Examples
The database used correspond to proteomic spectra, generated by mass spectroscopy. This data dates from 6-19-02, and includes 91 controls (Normal) and 162 ovarian cancers. The raw spectral data of each sample contains the relative amplitude of the intensity at each molecular mass/charge (M/Z) identity. There are total 15154 M/Z identities. The intensity values were normalized according to the formula: NV = (V-Min)/(Max-Min) where NV is the normalized value, V the raw value, Min the minimum intensity and Max the maximum intensity. The normalization is done over all the 253 samples for all 15154 M/Z identities. After the normalization, each intensity value falls within the range of 0 to 1.
1 |
An object of class "data.frame".
Emanuel F Petricoin et al. (2002) The Lancet 359:572-577 (PubMed)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | library(DET)
data(ovarianCancer)
response = as.factor(ovarianCancer$response)
predictors = matrix(c(as.numeric(ovarianCancer[[2]]),
as.numeric(ovarianCancer[[3]])), ncol = 2)
colnames(predictors) = c("Protein 1689", "Protein 1737")
detCurves =
detc(
response,
predictors,
names = colnames(predictors),
positive = "Cancer"
)
plot(detCurves, main = "Proteomic patterns")
|
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