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.
Hi From Italy
Greetings from Italy! Thought I would share somethings I have learned as well as learn from others.
Wish Everyone out here a belated Merry Christmas
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.
|All times are GMT. The time now is 07:39 PM.|
Powered by vBulletin® Version 3.8.4
Copyright ©2000 - 2015, Jelsoft Enterprises Ltd.
Copyright 2005 - 2012 Molecular Station | All Rights Reserved