Package 'lungExpression'

Title: ExpressionSets for Parmigiani et al., 2004 Clinical Cancer Research paper
Description: Data from three large lung cancer studies provided as ExpressionSets
Authors: Robert Scharpf <[email protected]>, Simens Zhong <[email protected]>, Giovanni Parmigiani <[email protected]>
Maintainer: Robert Scharpf <[email protected]>
License: GPL (>= 2)
Version: 0.50.0
Built: 2026-10-10 11:01:08 UTC
Source: https://github.com/bioc/lungExpression

Help Index


A Harvard study on lung cancer gene expression

Description

A Harvard study on lung cancer gene expression. Data is represented as an ExpressionSet.

Usage

data(harvard)

Details

Annotation for the phenoData will be updated.

References

Bhattacharjee et al., Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses, PNAS 2001, 98:13790-5.

Parmigiani et al., A cross-study comparison of gene expression studies for the molecular classification of lung cancer, Clinical Cancer Research, 10:2922-2927, 2004.

Examples

data(harvard)

A Michigan study on lung cancer gene expression

Description

A Michigan study on lung cancer gene expression. Data is represented as an ExpressionSet.

Usage

data(michigan)

Details

Annotation for the phenoData will be updated.

References

Beer et al., Gene expression profiles predict survival of patients with lung adenocarcinoma. Nature Medicine 8(8):816-824 (2002).

Parmigiani et al., A cross-study comparison of gene expression studies for the molecular classification of lung cancer, Clinical Cancer Research, 10:2922-2927, 2004.

Examples

data(michigan)

Public lung cancer data from the Stanford study

Description

Public lung cancer data from the Stanford study represented as an ExpressionSet

Usage

data(stanford)

Details

Annotation for the phenoData will be updated.

References

Garber et al., Diversity of Gene Expression in Adenocarcinoma of the Lung, PNAS, 2001, 98(24):13784-9.

Parmigiani et al., A cross-study comparison of gene expression studies for the molecular classification of lung cancer, Clinical Cancer Research, 10:2922-2927, 2004.

Examples

data(stanford)