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MultNonParam (version 1.3.9)

sotiriou: Breast cancer data set

Description

187 breast cancer patients are collected in this data set.

Usage

data(sotiriou)

Arguments

Format

A data set with the following variables

  • AGE : Age of the patient

  • TUMOR_SIZE : The size of the tumor, numeric variable

  • recur : 1 if the patient has a recurent breast cancer, 0 if it is not reccurent.

  • ELSTON.ELLIS_GRADE : Elston Ellis grading system in order toclassify the breast cancers. It can be a low, intermediate or high grade (high being the worst prognosis)

  • TAMOXIFEN_TREATMENT : boolean. TRUE if the patient is treated with the Tamoxifen treatment.

References

S. Madhavan, Y. Gusev, M. Harris, D. Tanenbaum, R. Gauba, K. Bhuvaneshwar, A. Shinohara, K. Rosso, L. Carabet, L. Song, R. Riggins, S. Dakshanamurthy, Y. Wang, S. Byers, R. Clarke, L. Weiner (2011), A systems medicine platform for personalized oncology, Neoplasia 13.

C. Sotiriou, P. Wirapati, S. Loi, A. Harris, S. Fox, J. Smeds, H. Nordgren, P. Farmer, V. Praz, B. Haibe-Kains, C. Desmedt, D. Larsimont, F. Cardoso, H. Peterse, D. Nuyten, M. Buyse, M. Van de Vijver, J. Bergh, M. Piccart, M. Delorenzi (2006), Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis, Journal of the National Cancer Institute 98 262-72.

Examples

Run this code
data(sotiriou)
plot(sotiriou$AGE,sotiriou$TUMOR_SIZE,pch=(sotiriou$recur+1),
   main="Age and Tumor Size",
   sub="Breast Cancer Recurrence Data",
   xlab="Age (years)",ylab="Tumor Size",
   col=c("blue","darkolivegreen"))
legend(31,8,legend=c("Not Recurrent","Recurrent"),pch=1:2,
   col=c("blue","darkolivegreen"))

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