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BeadStudio Output - Quality Control?
I am to receive a human gene expression dataset output but illumina beadstudio. The data comprises of an AVG_DETECTION column and a DETECTION_P for each signal in every person. This p-value represents the probability that the signal was derived from a non-specific probe hybridisation (i.e. noise).
Does anyone have an insight into the best way I can quality control this data WRT the P-values? For example, should I be removing probes from my analysis if a certain number do not exceed a significance threshold of, say, 0.05? or should I be removing people?
Could somone at least point me to a paper that has done this before?
Thanks in advance.
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Re: BeadStudio Output - Quality Control?
You might find the following document helpful in developing your QC strategy for BeadStudio and Gene Expression Data.
illumina website -->
Support / Product Literature -->
Gene Expression Microarray Data Quality Control
Disclosure: Employed by a developer of life science tools. All comments and views expressed are my own and do not necessarily represent those of my of employer.
|beadstudio , control , output , quality|
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