expl

The microarray data set is the study on the prostate cancer by Singh et al.
The collection of the microarray is hgu95av2, and the gene groups are thus
given by the information in the hgu95av2.db Bioconductor library (see
Carslon et al.).

Implements estimation methods for shrinkage covariance matrices
using user-specified covariance targets. The covariance target is a structured
matrix towards which the unbiased sample covariance is shrunk, optionally
incorporating prior knowledge. Shrinkage intensity is computed analytically.
The method is described and applied to microarray gene expression data in
Jelizarow et al. (2010) <doi:10.1093/bioinformatics/btq323>.

Vincent Guillemot

SHIP

Shrinkage Covariance Incorporating Prior Knowledge

Monika Jelizarow

expl function

The dataset is a list containing:<ul>
<li>a \(102 \times 100\) matrix \(x\) of 100 genes randomly chosen from the data set of
Singh et al.,</li>
<li>a list <samp>genegroups</samp> containing 100 vectors of KEGG
pathway IDs (which each gene belongs to).</li>
</ul>

expl: Small example extracted from a microarray data set.

Description

Usage

Arguments

Format