| Title: | RGLists from the Glas and Buyse breast cancer studies |
|---|---|
| Description: | Gene expression data for the two breast cancer cohorts published by Glas and Buyse in 2006. This cohorts were used to implement and validate the mammaPrint breast cancer test. |
| Authors: | Luigi Marchionni <[email protected]> |
| Maintainer: | Luigi Marchionni <[email protected]> |
| License: | Artistic-2.0 |
| Version: | 1.49.1 |
| Built: | 2026-10-10 10:34:27 UTC |
| Source: | https://git.bioconductor.org/packages/mammaPrintData |
This package contains the two RGList-class instances
corresponding to the breast cancer patients' cohorts
published by Glas and colleagues in BMC Genomics (2006),
and by Buyse and collleagues in JNCI (2006).
Since in both studies a two-colors dye swap design was applied,
this package contains two distinct RGList-class instances
for each data set, one for each dye-swap set of hybridizations.
This package contains unprocessed data, as obtained from
the original raw data files available from the ArrayExpress repository.
data(glasRG) data(buyseRGa)data(glasRG) data(buyseRGa)
The RGList-class instances contained in this package
(glasRGcy5, glasRGcy5,
buyseRGcy5, and buyseRGcy5,
accounts for 1900 microarray features and 162 and 307 samples respectively.
| Package: | mammaPrintData |
| Type: | Package |
| Version: | 0.99.5. |
| Date: | 2013-03-25 |
| License: | Artistic-2.0 |
Luigi Marchionni [email protected]
http://www.ncbi.nlm.nih.gov/pubmed/?term=17074082 http://www.ncbi.nlm.nih.gov/pubmed/?term=16954471
Annuska M Glas et al., "Converting a breast cancer microarray signature into a high-throughput diagnostic test", BMC Genomics, 2006, 7:278-288
Marc Buyse et al., "Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer", JNCI, 2006, 98(17):1183-1192
See RGList-class
### load limma package library(limma) ### load the glasRG dataset: two different dye-swap sets: ###glasRGcy5: information provided for RNA labeled with Cy5 ###glasRGcy3: information provided for RNA labeled with Cy3 data(glasRG) ### load the buyseRG dataset: two different dye-swap sets: ###buyseRGcy5: reference RNA was labeled with Cy5 ###buyseRGcy3: reference RNA was labeled with Cy3 data(buyseRG) ### show the class of the glasRGcy3 dataset class(glasRGcy5) ### show the class of the buyseRGcy3 dataset class(buyseRGcy3) ### show the dimentions of the glasRGcy3 dataset dim(glasRGcy5) ### show the dimentions of the buyseRGcy3 dataset dim(buyseRGcy3) ### show the first 10 rows of the glasRGcy3 phenotype data head(glasRGcy3$targets, n=10) ### show the first 10 rows of the buyseRGcy5 phenotype data head(buyseRGcy5$targets, n=10) ### show the first 10 features of the glasRGcy5 phenotype data head(glasRGcy5$genes, n=10) ### show the first 10 features of the buyseRGcy3 phenotype data head(buyseRGcy3$genes, n=10)### load limma package library(limma) ### load the glasRG dataset: two different dye-swap sets: ###glasRGcy5: information provided for RNA labeled with Cy5 ###glasRGcy3: information provided for RNA labeled with Cy3 data(glasRG) ### load the buyseRG dataset: two different dye-swap sets: ###buyseRGcy5: reference RNA was labeled with Cy5 ###buyseRGcy3: reference RNA was labeled with Cy3 data(buyseRG) ### show the class of the glasRGcy3 dataset class(glasRGcy5) ### show the class of the buyseRGcy3 dataset class(buyseRGcy3) ### show the dimentions of the glasRGcy3 dataset dim(glasRGcy5) ### show the dimentions of the buyseRGcy3 dataset dim(buyseRGcy3) ### show the first 10 rows of the glasRGcy3 phenotype data head(glasRGcy3$targets, n=10) ### show the first 10 rows of the buyseRGcy5 phenotype data head(buyseRGcy5$targets, n=10) ### show the first 10 features of the glasRGcy5 phenotype data head(glasRGcy5$genes, n=10) ### show the first 10 features of the buyseRGcy3 phenotype data head(buyseRGcy3$genes, n=10)
This package contains the RGList-class instance (see limma)
for the gene expression data set published by Buyse and colleagues.
This object contains the set of dye-swap hybridizations in which the reference
RNA was labeled with Cy3.
data(buyseRG)data(buyseRG)
The buyseRGcy3 RGList-class contains 1900 microarray
features and 307 samples. The following components were included:
buyseRGcy3$targets: a data.frame for
the breast cancer patients clinical information;
buyseRGcy3$genes: a data.frame containing
the microarray annotations;
buyseRGcy3$R: the raw median gene expression
foreground intensities from the Red channel;
buyseRGcy3$Rb: the raw median gene expression
background intensities from the Red channel;
buyseRGcy3$G: the raw median gene expression
foreground intensities from the Green channel;
buyseRGcy3$Gb: the raw median gene expression
background intensities from the Green channel;
buyseRGcy3$logRatio: the Log ratio
between Red and Green channel, as available from the raw data files;
buyseRGcy3$logRatioError: the Log ratio Error
associated with the Log Ratio between Red and Green channel,
as available from the raw data files;
buyseRGcy3$ID: the microarray features identifiers,
as available from the raw data files;
This dataset corresponds to the breast cancer patients' cohort published by Buyse and collleagues in JNCI (2006).
http://www.ncbi.nlm.nih.gov/pubmed/?term=16954471
Marc Buyse et al., "Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer", JNCI, 2006, 98(17):1183-1192
See RGList-class
### load limma package library(limma) ### load the buyseRGcy3 dataset: dye-swap set in which the reference ###RNA was labeled with Cy3 (from the Glas cohort) data(buyseRG) ### show the class of the buyseRGcy3 dataset class(buyseRGcy3) ### show the dimentions of the buyseRGcy3 dataset dim(buyseRGcy3) ### show the first 10 rows of the buyseRGcy3 phenotype data head(buyseRGcy3$targets, n=10) ### show the first 10 features of the buyseRGcy3 phenotype data head(buyseRGcy3$genes, n=10)### load limma package library(limma) ### load the buyseRGcy3 dataset: dye-swap set in which the reference ###RNA was labeled with Cy3 (from the Glas cohort) data(buyseRG) ### show the class of the buyseRGcy3 dataset class(buyseRGcy3) ### show the dimentions of the buyseRGcy3 dataset dim(buyseRGcy3) ### show the first 10 rows of the buyseRGcy3 phenotype data head(buyseRGcy3$targets, n=10) ### show the first 10 features of the buyseRGcy3 phenotype data head(buyseRGcy3$genes, n=10)
This package contains the RGList-class instance (see limma)
for the gene expression data set published by Buyse and colleagues.
This object contains the set of dye-swap hybridizations in which the reference
RNA was labeled with Cy5.
data(buyseRG)data(buyseRG)
The buyseRGcy5 RGList-class contains 1900 microarray
features and 307 samples. The following components were included:
buyseRGcy5$targets: a data.frame for
the breast cancer patients clinical information;
buyseRGcy5$genes: a data.frame containing
the microarray annotations;
buyseRGcy5$R: the raw median gene expression
foreground intensities from the Red channel;
buyseRGcy5$Rb: the raw median gene expression
background intensities from the Red channel;
buyseRGcy5$G: the raw median gene expression
foreground intensities from the Green channel;
buyseRGcy5$Gb: the raw median gene expression
background intensities from the Green channel;
buyseRGcy5$logRatio: the Log ratio
between Red and Green channel, as available from the raw data files;
buyseRGcy5$logRatioError: the Log ratio Error
associated with the Log Ratio between Red and Green channel,
as available from the raw data files;
buyseRGcy5$ID: the microarray features identifiers,
as available from the raw data files;
This dataset corresponds to the breast cancer patients' cohort published by Buyse and collleagues in JNCI (2006).
http://www.ncbi.nlm.nih.gov/pubmed/?term=16954471
Marc Buyse et al., "Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer", JNCI, 2006, 98(17):1183-1192
See RGList-class
### load limma package library(limma) ### load the buyseRGcy5 dataset: dye-swap set in which the reference ###RNA was labeled with Cy3 (from the Glas cohort) data(buyseRG) ### show the class of the buyseRGcy5 dataset class(buyseRGcy5) ### show the dimentions of the buyseRGcy5 dataset dim(buyseRGcy5) ### show the first 10 rows of the buyseRGcy5 phenotype data head(buyseRGcy5$targets, n=10) ### show the first 10 features of the buyseRGcy5 phenotype data head(buyseRGcy5$genes, n=10)### load limma package library(limma) ### load the buyseRGcy5 dataset: dye-swap set in which the reference ###RNA was labeled with Cy3 (from the Glas cohort) data(buyseRG) ### show the class of the buyseRGcy5 dataset class(buyseRGcy5) ### show the dimentions of the buyseRGcy5 dataset dim(buyseRGcy5) ### show the first 10 rows of the buyseRGcy5 phenotype data head(buyseRGcy5$targets, n=10) ### show the first 10 features of the buyseRGcy5 phenotype data head(buyseRGcy5$genes, n=10)
This package contains the RGList-class instance (see limma)
for the gene expression data set published by Glas and colleagues.
This object contains the set of dye-swap hybridizations in which the
information provided in the ArrayExpress SDRF table was associated with
the RNA samples labeled with Cy3.
data(glasRG)data(glasRG)
The glasRGcy3 RGList-class contains 1900 microarray
features and 307 samples. The following components were included:
glasRGcy3$targets: a data.frame for
the breast cancer patients clinical information;
glasRGcy3$genes: a data.frame containing
the microarray annotations;
glasRGcy3$R: the raw median gene expression
foreground intensities from the Red channel;
glasRGcy3$Rb: the raw median gene expression
background intensities from the Red channel;
glasRGcy3$G: the raw median gene expression
foreground intensities from the Green channel;
glasRGcy3$Gb: the raw median gene expression
background intensities from the Green channel;
glasRGcy3$logRatio: the Log ratio
between Red and Green channel, as available from the raw data files;
glasRGcy3$logRatioError: the Log ratio Error
associated with the Log Ratio between Red and Green channel,
as available from the raw data files;
glasRGcy3$ID: the microarray features identifiers,
as available from the raw data files;
This dataset corresponds to the breast cancer patients' cohort published by Glas and collleagues in BMC Genomics (2006).
http://www.ncbi.nlm.nih.gov/pubmed/?term=17074082
Annuska M Glas et al., "Converting a breast cancer microarray signature into a high-throughput diagnostic test", BMC Genomics, 2006, 7:278-288
See RGList-class
### load limma package library(limma) ### load the glasRGcy3 dataset: dye-swap set in which the information provided ###inthe SDRF table was associated with the samples labeled with Cy3 data(glasRG) ### show the class of the glasRGcy3 dataset class(glasRGcy3) ### show the dimentions of the glasRGcy3 dataset dim(glasRGcy3) ### show the first 10 rows of the glasRGcy3 phenotype data head(glasRGcy3$targets, n=10) ### show the first 10 features of the glasRGcy3 phenotype data head(glasRGcy3$genes, n=10)### load limma package library(limma) ### load the glasRGcy3 dataset: dye-swap set in which the information provided ###inthe SDRF table was associated with the samples labeled with Cy3 data(glasRG) ### show the class of the glasRGcy3 dataset class(glasRGcy3) ### show the dimentions of the glasRGcy3 dataset dim(glasRGcy3) ### show the first 10 rows of the glasRGcy3 phenotype data head(glasRGcy3$targets, n=10) ### show the first 10 features of the glasRGcy3 phenotype data head(glasRGcy3$genes, n=10)
This package contains the RGList-class instance (see limma)
for the gene expression data set published by Glas and colleagues.
This object contains the set of dye-swap hybridizations in which the
information provided in the ArrayExpress SDRF table was associated with
the RNA samples labeled with Cy5.
data(glasRG)data(glasRG)
The glasRGcy5 RGList-class contains 1900 microarray
features and 307 samples. The following components were included:
glasRGcy5$targets: a data.frame for
the breast cancer patients clinical information;
glasRGcy5$genes: a data.frame containing
the microarray annotations;
glasRGcy5$R: the raw median gene expression
foreground intensities from the Red channel;
glasRGcy5$Rb: the raw median gene expression
background intensities from the Red channel;
glasRGcy5$G: the raw median gene expression
foreground intensities from the Green channel;
glasRGcy5$Gb: the raw median gene expression
background intensities from the Green channel;
glasRGcy5$logRatio: the Log ratio
between Red and Green channel, as available from the raw data files;
glasRGcy5$logRatioError: the Log ratio Error
associated with the Log Ratio between Red and Green channel,
as available from the raw data files;
glasRGcy5$ID: the microarray features identifiers,
as available from the raw data files;
This dataset corresponds to the breast cancer patients' cohort published by Glas and collleagues in BMC Genomics (2006).
http://www.ncbi.nlm.nih.gov/pubmed/?term=17074082
Annuska M Glas et al., "Converting a breast cancer microarray signature into a high-throughput diagnostic test", BMC Genomics, 2006, 7:278-288
See RGList-class
### load limma package library(limma) ### load the glasRGcy3 dataset: dye-swap set in which the information provided ###inthe SDRF table was associated with the samples labeled with Cy5 data(glasRG) ### show the class of the glasRGcy5 dataset class(glasRGcy5) ### show the dimentions of the glasRGcy5 dataset dim(glasRGcy5) ### show the first 10 rows of the glasRGcy5 phenotype data head(glasRGcy5$targets, n=10) ### show the first 10 features of the glasRGcy5 phenotype data head(glasRGcy5$genes, n=10)### load limma package library(limma) ### load the glasRGcy3 dataset: dye-swap set in which the information provided ###inthe SDRF table was associated with the samples labeled with Cy5 data(glasRG) ### show the class of the glasRGcy5 dataset class(glasRGcy5) ### show the dimentions of the glasRGcy5 dataset dim(glasRGcy5) ### show the first 10 rows of the glasRGcy5 phenotype data head(glasRGcy5$targets, n=10) ### show the first 10 features of the glasRGcy5 phenotype data head(glasRGcy5$genes, n=10)