readMicroRnaAFE: Read Agilent Feature Extraction txt data files

In AgiMicroRna: Processing and Differential Expression Analysis of Agilent microRNA chips

Description

Read the data files generated by the Agilent Feature Extraction image analysis software

Usage

	readMicroRnaAFE(targets,verbose=FALSE)

Arguments

targets	A data frame that specifies experimental conditions under which each sample has been obtained.
verbose	logical, if TRUE prints out output

Details

The function reads the *.txt files generated by the AFE Software using the 'read.maimages' function of 'limma' package.

Data, colected with the Agilent Feature Extraction Software, are stored in a uRNAList object with the following components:

- dd.micro\$TGS 'gTotalGeneSignal' - dd.micro\$TPS 'gTotalProbeSignal' - dd.micro\$meanS 'gMeanSignal' - dd.micro\$procS 'gProcessedSignal' - dd.micro\$targets 'targets' - dd.micro\$genes\$ProbeName 'Probe Name' - dd.micro\$genes\$GeneName 'microRNA Name' - dd.micro\$genes\$ControlType 'FLAG to specify the sort of feature' - dd.micro\$other\$gIsGeneDetected 'FLAG IsGeneDetected' - dd.micro\$other\$gIsSaturated 'FLAG IsSaturated' - dd.micro\$other\$gIsFeatNonUnifOL 'FLAG IsFeatNonUnifOL' - dd.micro\$other\$gIsFeatPopnOL 'FLAG IsFeatPopnOL' - dd.micro\$other\$gBGMedianSignal 'gBGMedianSignal' - dd.micro\$other\$gBGUsed 'gBGUsed'

Value

A uRNAList containing the following elements:

uRNAList\$TGS	matrix, 'gTotalGeneSignal'
uRNAList\$TPS	matrix, 'gTotalProbeSignal'
uRNAList\$meanS	matrix, 'gMeanSignal'
uRNAList\$procS	matrix, 'gProcessedSignal'
uRNAList\$targets	data.frame, 'FileName'
uRNAList\$genes\$ProbeName	character, 'AGilent Probe Name'
uRNAList\$genes\$GeneName	character, 'microRNA Name'
uRNAList\$genes\$ControlType	integer, '0'= Feature, '1'= Positive control, '-1'= Negative control
uRNAList\$other\$gIsGeneDetected	matrix, FLAG to classify signal if 'IsGeneDetected=1' or 'not=0'
uRNAList\$other\$gIsSaturated	matrix, FLAG to classify signal if 'IsSaturated = 1' or 'not=0'
uRNAList\$other\$gIsFeatPopnOL	matrix, FLAG to classify signal if 'IsFeatPopnOL = 0' or 'not=1'
uRNAList\$other\$gIsFeatNonUnifOL	matrix, FLAG to classify signal if 'gIsFeatNonUnifOL = 0' or 'not=1'
uRNAList\$other\$gBGMedianSignal	matrix, gBGMedianSignal
uRNAList\$other\$gBGUsed	matrix, gBGUsed

Author(s)

Pedro Lopez-Romero

References

Agilent Feature Extraction Reference Guide http://www.Agilent.com

Smyth, G. K. (2005). Limma: linear models for microarray data. In: 'Bioinformatics and Computational Biology Solutions using R and Bioconductor'. R. Gentleman, V. Carey, S. Dudoit, R. Irizarry, W. Huber (eds), Springer, New York, pages 397–420.

See Also

A data example can be found in dd.micro See also readTargets to see how to build the target file and the example given in targets.micro

Examples

## Not run: 
data(targets.micro)
dd.micro = readMicroRnaAFE(targets.micro)

## End(Not run)

AgiMicroRna documentation built on Nov. 8, 2020, 5:25 p.m.