[BioC] removal of outliers in matrix
Johannes Hanson
s.j.hanson at bio.uu.nl
Wed Nov 14 13:08:11 CET 2007
Dear all,
After some work with analysis of micro array data I am now facing my first
metabolomics dataset.
The first problem I encountered is that the structure of the data is
different from what I am used to. Due to the alignment of the chromatogram I
do have extreme outliers within the dataset. The alignment is good (and I
don't want to manually adjust 8000 peaks). If I could easily remove the
outliers the rest of the analysis would be easier.
The outliers I want to remove are most often a total lack of signal as the
peak is missing. I do have five replicates of each treatment I am looking
for something that could remove only the extreme outliers (sample nr nine in
the example below).
A typical outlier:
Untreated
0.00040016 0.001029071 0.00101226 0.000739958 0.000288475
Treated
5.58151787 4.146639291 4.080655391 0.00120032 4.786810001
The data is structured as a matrix with one line per peak and the replicates
as individual columns (much like micro array data).
Thanks for any suggestions on how to continue
Johannes
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