srdata: High dimensional protein gene expression survival data

In highMLR: Machine Learning Feature Selection for High Dimensional Survival Data

High dimensional protein gene expression survival data

Description

Protein expression measurements with a survival outcome, used to demonstrate high-dimensional feature selection.

Usage

srdata

Format

A data frame with 288 rows and 250 columns. The first four columns are the identifier and outcome variables: ID (subject identifier), Visit (visit number), OS (overall survival time), and event (survival event indicator, 1 = event, 0 = censored). The remaining 246 columns are numeric protein expression features named by protein or marker (for example C6kine, ActivinA, Adiponectin).

Source

Bundled with the package since highMLR v0.1.1.

highMLR documentation built on May 23, 2026, 5:07 p.m.