caseDat: Case study copy number variation data

In gPCA: Batch Effect Detection via Guided Principal Components Analysis

Description

This is a data set of copy number variation data with n=500 observations and p=1000 features. The length n batch vector (first column of caseDat) indicates the batch for each sample.

Usage

data(caseDat)

Format

A list with two objects:

batch

A numeric vector indicating batch for the n=500 samples.

data

A matrix of n=500 samples and p=1000 features.

References

Reese, S. E., Archer, K. J., Therneau, T. M., Atkinson, E. J., Vachon, C. M., de Andrade, M., Kocher, J. A., and Eckel-Passow, J. E. A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal components analysis. Bioinformatics, (in review).

Examples

data(caseDat)

Example output

gPCA documentation built on May 2, 2019, 4:02 p.m.