Description Usage Format Details Source References Examples
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\
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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
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.
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.
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.
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