hnscc: High dimensional head and neck cancer survival and gene...

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

High dimensional head and neck cancer survival and gene expression data

Description

Survival and gene expression measurements for head and neck squamous cell carcinoma patients, used to demonstrate high-dimensional feature selection.

Usage

hnscc

Format

A data frame with 565 rows (one per patient) and 104 columns. The first five columns are the identifier and outcome variables: ID (patient identifier), Death (overall survival event indicator, 1 = death, 0 = censored), OS (overall survival time), PFS (progression-free survival time), and Prog (progression event indicator, 1 = progression, 0 = none). The remaining 99 columns are numeric gene expression features named by gene symbol (for example GJB1, HPN, PROM1).

Source

Bundled with the package since highMLR v0.1.1.

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