[BioC] outliers in Bead summ data

[Matthew Vitalone]

Hi all,

Does anyone have a function that is able to remove outliers from bead 
summary data? I am not a bioinformatian or a programmer, and I have no 
idea on how to change or alter the function used on Bead image data.

I.e:
par(mfrow=c(2,5))
for(i in 1:10){
  o=findAllOutliers(BLData.bc, array=i)
  plotBeadLocations(BLData.bc, array=i, BeadIDs=o, main=an[i], SAM=TRUE, 
pch=".")
}

outliers = NULL
for(i in 1:10) {
  outliers[i] = length(findAllOutliers(BLData.bc, array=i))
}
x11()
par(mai=c(2,1,0.2,0.1))
barplot(outliers/numBeads(BLData.bc)*100, main="Outliers per array", 
ylab="%", las=2, names=an)

Thanks,
Matt

-- 
Matthew Vitalone B.Sc (Hons) PhD(progress)
NHMRC Centre for Clinical Research Excellence in Renal Medicine
Centre For Transplant and Renal Research
Transplant Laboratory (Room 2175), Clinical Sciences
Westmead Millennium Institute
Darcy Road, Westmead, NSW, 2145.
Sydney, Australia.

Phone: (+61-2) 9845 8906
Mobile: 0416 041783
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Fax: (+61-2) 9633 9351
Email: matthew_vitalone at wmi.usyd.edu.au 
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