survData: Survial data of 82 patients

Description

A dataframe ''survData:" A dataframe containing the survival information of the 82 patients the relevant columns of which are "True_STs", "censored" indicating the recorded survival times of the patients, and their censorship status simultaneously. In the "censored" column "0" indicates a non-censored patient, and "1" indicates a censored patient\

Usage

data(survData)

Arguments

Format

A data frame with 82 observations on the following 10 variables.

Array.ID: The array IDs of the patients
Sample.ID.Bauke.: The array IDs of the patients as annotated in one source
Experiment.Jon.: The array IDs of the patients as annotated in a third source (in essence the same as the previous two)
ExptID: The Experiment ID
Order: The number/order of the patient
Overall.survival..mons.undivided: the overall survival time of the patients in months
Relapse.free.survival..mons.: the relapse free survival time of the patients in months
Status.0.A..1.AWD..2.DOD..3.DOC: the status of the tumour (as abbreviated in the publication)
censored: the status of censorship with ''0" corresponding to a ''non-censored" patient and ''1" to a ''censored patient"
True_STs: The survival/censorship times of the patient in years

Source

Bergamaschi, A., & al., e. (2006). Distinct Patterns of DNA Copy NumberAlteration are associated with different clinicopathological features and gene expression subtypes of breast cancer. Genes, Chromosomes and cancer , 45, 1033-1040.

Details

A subset of the data set used in Bergamaschi, A., & al., e. (2006). Distinct Patterns of DNA Copy NumberAlteration are associated with different clinicopathological features and gene expression subtypes of breast cancer. Genes, Chromosomes and cancer , 45, 1033-1040.

References

Examples

Run this code

data(survData)
colnames(survData)

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