April 2016
Beginner to intermediate
1036 pages
33h 39m
English
book
Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
by Sorin Draghici
Content preview from Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
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688 Statistics and Data Analysis for Microarrays Using R and Bioconductor
A natural question is how do the outliers identified by BAS H compare with
those identified by illuminaOutlierMethod? It turns out there are no overlap-
ping between the two s ets of outliers, suggesting that the two approaches may
be complementary rather than redundant. The outliers from illuminaOutlier-
Method will be removed later on when summarizing the data. Eliminating
the outliers identified by BASH can be accomplished through storing BASH
weights in the “beadLevelData” object. The QC res ult from BASH can be
appended to the object as well, if desir e d.
> outlierProbe<-vector("list", 6)
> names(outlierProbe)<-names(BLimg@beadData)
> for (i in 1:6) {
+ outlierProbe[[i]]=illuminaOutlierMet ...
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