Package 'pumadata'

Title: Various data sets for use with the puma package
Description: This is a simple data package including various data sets derived from the estrogen data for use with the puma (Propagating Uncertainty in Microarray Analysis) package.
Authors: Richard Pearson
Maintainer: Xuejun liu <[email protected]>
License: LGPL
Version: 2.48.0
Built: 2026-10-10 11:05:15 UTC
Source: https://github.com/bioc/pumadata

Help Index


The data from the estrogen package as an AffyBatch object

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code:

		library(estrogen)
		datadir <- file.path(.find.package("estrogen"),"extdata") 
		estrogenFilenames <- c("low10-1.cel","low10-2.cel","high10-1.cel","high10-2.cel"
		,	"low48-1.cel","low48-2.cel","high48-1.cel","high48-2.cel")
		affybatch.estrogen <- ReadAffy(
			filenames=estrogenFilenames
		,	celfile.path=datadir
		)
		pData(affybatch.estrogen) <- data.frame(
		"estrogen"=c("absent","absent","present","present"
			,"absent","absent","present","present")
			,	"time.h"=c("10","10","10","10","48","48","48","48")
			,	row.names=rownames(pData(affybatch.estrogen))
		)
	

Usage

data(affybatch.estrogen)

Format

An AffyBatch object containing 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).


The data from the estrogen package processed using the multi-mgMOS and PUMAcomb algorithms

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code (note this could take a long time to run):

		data(eset_estrogen_mmgmos)
		eset_estrogen_mmgmos_normd <- PUMAnormalize(eset_estrogen_mmgmos, "median")
		eset_estrogen_comb <- PUMAcomb(eset_estrogen_mmgmos_normd)
	

Usage

data(eset_estrogen_comb)

Format

An ExpressionSet object containing the expression levels and standard errors from combining the replicates for each combination of levels of factors from 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).

See Also

eset_estrogen_mmgmos

Examples

data(eset_estrogen_comb)
exprs(eset_estrogen_comb)[1:3,1:3]
assayDataElement(eset_estrogen_comb,"se.exprs")[1:3,1:3]

The data from the estrogen package processed using the multi-mgMOS algorithm

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code (note this could take a long time to run):

		data(oligo.estrogen)
		eset_estrogen_mmgmos <- mmgmos(oligo.estrogen)
	

Usage

data(eset_estrogen_mmgmos)

Format

An exprReslt object containing expression levels and standard errors for 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).

See Also

oligo.estrogen eset_estrogen_rma

Examples

data(eset_estrogen_mmgmos)
show(eset_estrogen_mmgmos)
exprs(eset_estrogen_mmgmos)[1:3,1:3]
assayDataElement(eset_estrogen_mmgmos,"se.exprs")[1:3,1:3]

The data from the estrogen package processed using the multi-mgMOS use PM intensities only

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code (note this could take a long time to run):

		data(oligo.estrogen)
		eset_estrogen_pmmmgmos <- pmmmgmos(oligo.estrogen)
	

Usage

data(eset_estrogen_pmmmgmos)

Format

An exprReslt object containing expression levels and standard errors for 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).

See Also

oligo.estrogen eset_estrogen_rma

Examples

data(eset_estrogen_pmmmgmos)
show(eset_estrogen_pmmmgmos)
exprs(eset_estrogen_pmmmgmos)[1:3,1:3]
assayDataElement(eset_estrogen_pmmmgmos,"se.exprs")[1:3,1:3]

The data from the estrogen package processed using the RMA algorithm

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code:

		data(oligo.estrogen)
		eset_estrogen_mmgmos <- rma(oligo.estrogen)
	

Usage

data(eset_estrogen_rma)

Format

An ExpressionSet object taining expression levels for 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).

See Also

oligo.estrogen eset_estrogen_mmgmos

Examples

data(eset_estrogen_rma)
show(eset_estrogen_rma)
exprs(eset_estrogen_rma)[1:3,1:3]
assayDataElement(eset_estrogen_rma,"se.exprs")[1:3,1:3]

The coordinates of probes and the mapped PM probes for hta2.0 chips

Description

This data include the probes location for hta2.0 chips.

Usage

data(HTA_Location)

Format

A 1*5118823 matrix including the location for unique probes in HTA_transcript_NO.

Source

Danielle Thierry-Mieg ,Jean Thierry-Mieg. Aceview: a comprehensive cDNA-supported gene and transcripts annotaion. Genome Biology.2006,7(Suppl 1):S12

Manhong Dai, Pinglang Wang,Andrew D. Boyd. (2005) Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data,Nucleic Acid Research 33(20):e175.


The number of probes and the number of transcripts mapped to each gene for hta2.0 chips

Description

This data is the number of probes and the number of transcripts mapped to each gene for hta2.0 chips.

Usage

data(HTA_probes_transcripts)

Format

A 33394*2 matrix including the number of probes and the number of transcripts mapped to each of 33394 genes for hta20 chips.

Source

Danielle Thierry-Mieg ,Jean Thierry-Mieg. Aceview: a comprehensive cDNA-supported gene and transcripts annotaion Genome Biology.2006,7(Suppl 1):S12

Manhong Dai, Pinglang Wang,Andrew D. Boyd. (2005) Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data,Nucleic Acid Research 33(20):e175.


The names of transcripts mapped to each gene for hta2.0 chips

Description

This data include the names of transcripts mapped to each gene for hta2.0 chips.

Usage

data(HTA_transcript_name)

Format

A 225456*1 matrix including 225456 transcript names mapped to genes for hta2.0 chips.

Source

Danielle Thierry-Mieg ,Jean Thierry-Mieg. Aceview: a comprehensive cDNA-supported gene and transcripts annotaion Genome Biology.2006,7(Suppl 1):S12

Manhong Dai, Pinglang Wang,Andrew D. Boyd. (2005) Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data,Nucleic Acid Research 33(20):e175.


The coordinates of probes and the mapped transcripts for hta2.0 chips

Description

This data include the coordinates of probes and the mapped transcripts for hta2.0 chips.

Usage

data(HTA_transcript_NO)

Format

A 20626078*3 matrix including pos_x,pos_y and transcript_no. pos_x and pos_y are respectively X and Y coordinates of probes for hta2.0 chips. Transcript_no is the mapped transcripts for each probe.

Source

Danielle Thierry-Mieg ,Jean Thierry-Mieg. Aceview: a comprehensive cDNA-supported gene and transcripts annotaion Genome Biology.2006,7(Suppl 1):S12

Manhong Dai, Pinglang Wang,Andrew D. Boyd. (2005) Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data,Nucleic Acid Research 33(20):e175.


The coordinates of probes and the mapped PM for human exon chips

Description

This data include the probes location for human exon chips.

Usage

data(Human_Location)

Format

A 1*1565476 matrix including the location for unique probes in Human_transcript_NO.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The number of probes and the number of transcripts mapped to each gene for human exon chips

Description

This data is the number of probes and the number of transcripts mapped to each gene for human exon chips.

Usage

data(Human_probes_transcripts)

Format

A 40174*2 matrix including the number of probes and the number of transcripts mapped to each of 40174 genes for human exon chips.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The names of transcripts mapped to each gene for human exon chips

Description

This data include the names of transcripts mapped to each gene for human exon chips.

Usage

data(Human_transcript_name)

Format

A 121741*1 matrix including 121741 transcript names mapped to genes for human exon chips.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The coordinates of probes and the mapped transcripts for human exon chips

Description

This data include the coordinates of probes and the mapped transcripts for human exon chips.

Usage

data(Human_transcript_NO)

Format

A 4598850*3 matrix including pos_x,pos_y and transcript_no. pos_x and pos_y are respectively X and Y coordinates of probes for human exon chips. Transcript_no is the mapped transcripts for each probe.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The coordinates of probes and the mapped PM for Mouse exon chips

Description

This data include the probes location for Mouse exon chips.

Usage

data(Mouse_Location)

Format

A 1*1278936 matrix including the location for unique probes in Mouse_transcript_NO.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The number of probes and the number of transcripts mapped to each gene for mouse exon chips

Description

This data include the number of probes and the number of transcripts mapped to each gene for mouse exon chips.

Usage

data(Mouse_probes_transcripts)

Format

A 27719*2 matrix including the number of probes and the number of transcripts mapped to each of 27719 genes for mouse exon chips.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The names of transcripts mapped to each gene for mouse exon chips

Description

This data include the names of transcripts mapped to each gene for mouse exon chips

Usage

data(Mouse_transcript_name)

Format

A 75751*1 matrix including 75751 transcript names mapped to genes for mouse exon chips.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The coordinates of probes and the mapped transcripts mapped for mouse exon chips

Description

This data include the coordinates of probes and the mapped transcripts for mouse exon chips.

Usage

data(Mouse_transcript_NO)

Format

A 2928848*3 matrix including pos_x,pos_y and transcript_no. pos_x and pos_y are respectively X and Y coordinates of probes for mouse exon chips. Transcript_no data is the mapped transcripts for each probe.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The data from the estrogen package as an ExpressionFeatureSet object

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code:

		library(estrogen)
		datadir <- file.path(find.package("estrogen"),"extdata") 
		estrogenFilenames <- c("low10-1.cel","low10-2.cel","high10-1.cel","high10-2.cel"
		,	"low48-1.cel","low48-2.cel","high48-1.cel","high48-2.cel")
                    setwd(datadir)
		oligo.estrogen <-read.celfiles(
			filenames=estrogenFilenames
		)
		pData(oligo.estrogen) <- data.frame(
		"estrogen"=c("absent","absent","present","present"
			,"absent","absent","present","present")
			,	"time.h"=c("10","10","10","10","48","48","48","48")
			,	row.names=rownames(pData(oligo.estrogen))
		)
	

Usage

data(oligo.estrogen)

Format

An ExpressionFeatureSet object containing 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).


The data from the estrogen package processed using the pumaPCA algorithm

Description

This data is taken from the estrogen package. It was created to be used in the vignette for the puma pacakge. It can be produced using the following code (note this could take a long time to run):

		data(eset_estrogen_mmgmos)
		pumapca_estrogen <- pumaPCA(eset_estrogen_mmgmos)
	

Usage

data(pumapca_estrogen)

Format

An pumaPCARes object containing principal components (created using pumaPCA) of 8 HG\_U95Av2 arrays, in a 2 x 2 factorial design, with 2 replicates for each combination of factors. The factors are estrogen (absent of present) and time.h (10 or 48).

See Also

eset_estrogen_mmgmos

Examples

data(pumapca_estrogen)
plot(pumapca_estrogen,legend1pos="right",legend2pos="top")

The coordinates of probes and the mapped PM for Rat exon chips

Description

This data include the probes location for Rat exon chips.

Usage

data(Rat_Location)

Format

A 1*931210 matrix including the location for unique probes in Rat_transcript_NO.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The number of probes and the number of transcripts mapped to each gene for rat exon chips

Description

This data is the number of probes and the number of transcripts mapped to each gene for rat exon chips.

Usage

data(Rat_probes_transcripts)

Format

A 23585*2 matrix including the number of probes and the number of transcripts mapped to each of 23585 genes for rat exon chips.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The names of transcripts mapped to each gene for rat exon chips

Description

This data is the names of transcripts mapped to each gene for rat exon chips

Usage

data(Rat_transcript_name)

Format

A 334851*1 matrix including 334851 transcript names mapped to each gene for rat exon chips.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.


The coordinates of probes and the mapped transcripts for rat exon chips

Description

This data include the coordinates of probes and the mapped transcripts for rat exon chips.

Usage

data(Rat_transcript_NO)

Format

A 1491570*3 matrix including pos_x,pos_y and transcript_no. pos_x and pos_y are respectively X and Y coordinates of probes for rat exon chips. Transcript_no is the mapped transcripts for each probe.

Source

Risueno A, Fontanillo C, Dinger ME, De Las Rivas J. GATExplorer: genomic and transcriptomic explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs. BMC Bioinformatics.2010 Apr 29;11:221.