tr09-expression.data: Microarray expression data on prostate cancer

In oompaData: Data to Illustrate OOMPA Algorithms

Microarray expression data on prostate cancer

Description

A subset of the microarray data from a study of prostate cancer at Stanford is supplied as demo data with the tail.rank.test package.

Usage

data(expression.data)

Format

A data frame with 2000 observations on the 112 variables. Each column represent a different patient sample, as described in the accompanying data.frame called clinical.info.

Details

This data set contains normalized microarray expression data on 2000 randomly selected genes from a prostate cancer data set. The study was originially described in a publication by Lapointe et al. The experiments were performed on two-color glass microarrays printed at Stanford and available from the Stanford Microarray Database. We downloaded the raw data and preprocessed it. In particular,after background correction and loess normalization, we computed log ratios between the channels. We then randomly selected 2000 of the 42129 spots to include as demonstration data here.

Source

https://bio.tools/stanfordmicroarraydb

References

Lapointe J et al. (2004) Gene expression profiling identifies clinically relevant subtypes of prostate cancer. Proc Natl Acad Sci U S A, 101, 811–816.

See Also

clinical.info, gene.info

Examples

data(expression.data)
summary(expression.data)

oompaData documentation built on Dec. 2, 2022, 5:14 p.m.