ovarianCancer: Data on Ovarian Cancer (NCI PBSII Data)

In DET: Representation of DET Curve with Confidence Intervals

Description

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.

Usage

data(ovarianCancer)

Format

An object of class "data.frame".

Source

ZIP Archive

References

Emanuel F Petricoin et al. (2002) The Lancet 359:572-577 (PubMed)

Examples

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")

DET documentation built on April 3, 2021, 1:06 a.m.