A test dataset for evaluating prognostic models, with a structure
identical to train_pro.
Format
A data frame with rows for samples and 31 columns:
- sample
character. Unique identifier for each sample.
- outcome
integer. The event status (0 or 1).
- time
numeric. The time to event or censoring.
- AC004990.1
numeric. Gene expression level.
- AC055854.1
numeric. Gene expression level.
- AC084212.1
numeric. Gene expression level.
- AC092118.1
numeric. Gene expression level.
- AC093515.1
numeric. Gene expression level.
- AC104211.1
numeric. Gene expression level.
- AC105046.1
numeric. Gene expression level.
- AC105219.1
numeric. Gene expression level.
- AC110772.2
numeric. Gene expression level.
- AC133644.1
numeric. Gene expression level.
- AL133467.1
numeric. Gene expression level.
- AL391845.2
numeric. Gene expression level.
- AL590434.1
numeric. Gene expression level.
- AL603840.1
numeric. Gene expression level.
- AP000851.2
numeric. Gene expression level.
- AP001434.1
numeric. Gene expression level.
- C9orf163
numeric. Gene expression level.
- FAM153CP
numeric. Gene expression level.
- HOTAIR
numeric. Gene expression level.
- HYMAI
numeric. Gene expression level.
- LINC00165
numeric. Gene expression level.
- LINC01028
numeric. Gene expression level.
- LINC01152
numeric. Gene expression level.
- LINC01497
numeric. Gene expression level.
- LINC01614
numeric. Gene expression level.
- LINC01929
numeric. Gene expression level.
- LINC02408
numeric. Gene expression level.
- SIRLNT
numeric. Gene expression level.