
An example dataset from one class, with 25 samples and 80 genes.

datasets

Tests gene expression data from a biological pathway for biologically meaningful differences in the eigenstructure between two classes.  Specifically, it tests the null hypothesis that the two classes' leading eigenvalues and sums of eigenvalues are equal.  A pathway's leading eigenvalue arguably represents the total variability due to variability in pathway activity, while the sum of all its eigenvalues represents the variability due to pathway activity and to other, unregulated causes. Implementation of the method described in Danaher (2015), "Covariance-based analyses of biological pathways".

Patrick Danaher

SETPath

Spiked Eigenvalue Test for Pathway data

d1 function

The format is:
d1          : num [1:25, 1:80] 0.701 -2.107 0.624 -0.885 0.344 ...
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:25] "control1" "control2" "control3" "control4" ...
  .. ..$ : chr [1:80] "gene1" "gene2" "gene3" "gene4" ...

d1: Example data for the SETPath method - dataset from class 1

Description

Usage

Arguments

Format