A data example is provided. The data example includes 3 experimental
conditions with two replicates. For these data, chips were scanned using the Agilent G2567AA
Microarray Scanner System (Agilent Technologies)
Image analysis and data collection were carried out
using the Agilent Feature Extraction 9.1.3.1. (AFE).
Data, colected with the Agilent Feature Extraction Software, are stored
in a uRNAList object with the following components:
- uRNAList\$TGS
- matrix, 'gTotalGeneSignal'
uRNAList\$TPS matrix, 'gTotalProbeSignal'
uRNAList\$meanSmatrix, 'gMeanSignal'
uRNAList\$procSmatrix, 'gProcessedSignal'
uRNAList\$targets data.frame, 'FileName'
uRNAList\$genes\$ProbeName vector of characters, 'AGilent Probe Name'
uRNAList\$genes\$GeneName vector of characters, 'microRNA Name'
uRNAList\$genes\$ControlType vector of integers, '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