Prostate2000Raw: Prostate Cancer 2000 Raw Spectra

In ChemometricsWithRData: Data for package ChemometricsWithR

Description

A data object of class msSet, consisting of 654 mass spectra (327 spectra in duplicate) from 2000 to 20000 Da, which were generated from patients with prostate cancer, benign prostatic hypertrophy, and normal controls. These spectra are already baseline corrected and normalized. Please see the references for more details.

Since the original package msProstate is orphaned at the end of 2012, the data are included in the ChemometricsWithR package so that the examples in the book are still executable. This manual page has been adapted to reflect this.

References

B.L. Adam, Y. Qu, J.W. Davis, M.D. Ward, M.A. Clements, L.H. Cazares, O.J. Semmes, P.F. Schellhammer, Y. Yasui, Z. Feng, and G.L. Wright, Jr., "Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men," Cancer Research, 62(13):3609–14, 2002.

Y. Qu, B.L. Adam, Y. Yasui, M.D. Ward, L.H. Cazares, P.F. Schellhammer, Z. Feng, O.J. Semmes, and G.L. Wright Jr., "Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients", Clinical Chemistry, 48(10):1835–43, 2002.

R. Wehrens, "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences". Springer, Heidelberg, 2011.

See Also

prostate.

Examples

## Examples have been changed from the original man page upon inclusion
## in the ChemometricsWithRData package
data("Prostate2000Raw")

## plot a few spectra, partially
matplot(Prostate2000Raw$mz[1:8000],
        Prostate2000Raw$intensity[1:8000, 1:5], type = "l",
        lty = 1, col = 1:5, xlab = "m/z", ylab = "response")

ChemometricsWithRData documentation built on May 29, 2017, 9:50 a.m.