classLoi2008

 This data set gives resistance status data for the 255
  patients used in the DEGraph package vignette. This comes from the
  15737 gene, 255 patient dataset of Loi et al. (2008) which was used to
  study resistance to tamoxifen treatment in hormone-dependent breast
  cancer.  

datasets

DEGraph implements recent hypothesis testing methods which
directly assess whether a particular gene network is
differentially expressed between two conditions. This is to be
contrasted with the more classical two-step approaches which
first test individual genes, then test gene sets for enrichment
in differentially expressed genes. These recent methods take
into account the topology of the network to yield more powerful
detection procedures. DEGraph provides methods to easily test
all KEGG pathways for differential expression on any gene
expression data set and tools to visualize the results.

Laurent Jacob

DEGraph

Two-sample tests on a graph

classLoi2008 function

A vector of 255 elements which are either 0 (resistance to
  treatment) or 1 (sensitivity to treatment).

Format

Loi et al.,
  <em>Predicting prognosis using molecular profiling in estrogen
  receptor-positive breast cancer treated with tamoxifen.</em>
BMC Genomics, 9(1):239, 2008.

Source

This data set gives resistance status data for the 255
  patients used in the DEGraph package vignette. This comes from the
  15737 gene, 255 patient dataset of Loi et al. (2008) which was used to
  study resistance to tamoxifen treatment in hormone-dependent breast
  cancer.

classLoi2008: Tamoxifen treatment resistance status data used in the DEGraph package vignette

Description

Usage

Arguments

Format

Source

References

Examples