ovarianCancer: Ovarian Cancer (NCI PBSII Data)

In alvaro85gr/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 is to fall 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

data(ovarianCancer)
responses <- data.frame(ovarianCancer$response)
predictors <- data.frame(
  n1 = as.numeric(as.numeric(ovarianCancer[[2]])),
  n2 = as.numeric(as.numeric(ovarianCancer[[3]]))
)
names(predictors) = c("Protein 1689","Protein 1737")
detcurve <- detc(responses,predictors, 
                 names = names(predictors),
                 positive = "Cancer",
                 title = "Proteomic patterns",
                 plotROC = TRUE)

alvaro85gr/DET documentation built on June 15, 2019, 10 p.m.