brainCancer: The brain cancer data set

In randomGLM: Random General Linear Model Prediction

The brain cancer data set

Description

2 sets containing the gene expression profiles of 55 and 65 brain cancer patients respectively.

Usage

data(brainCancer)

Format

brainCancer is a list of 2 components: train and test. "train" is a numeric matrix with 55 samples (rows) across 5000 genes (columns). "test" is a numeric matrix with 65 samples (rows) across the same 5000 genes (columns).

Author(s)

Lin Song, Steve Horvath

Source

Horvath S, Zhang B, Carlson M, Lu K, Zhu S, Felciano R, Laurance M, Zhao W, Shu Q, Lee Y, Scheck A, Liau L, Wu H, Geschwind D, Febbo P, Kornblum H, TF C, Nelson S, Mischel P: Analysis of Oncogenic Signaling Networks in Glioblastoma Identifies ASPM as a Novel Molecular Target. Proc Natl Acad Sci U S A 2006, 103(46):17402-7.

References

Lin Song, Peter Langfelder, Steve Horvath: Random generalized linear model: a highly accurate and interpretable ensemble predictor. BMC Bioinformatics (2013)

Examples

data(brainCancer)

randomGLM documentation built on April 11, 2022, 1:06 a.m.