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SUMMARY:A comparison of background correction methods for two-colour micro
 arrays - Matt Ritchie (Cancer Research Institute\, University of Cambridge
 )
DTSTART:20080312T150000Z
DTEND:20080312T160000Z
UID:TALK10605@talks.cam.ac.uk
CONTACT:Danielle Stretch
DESCRIPTION:Microarray data must be background corrected to remove the eff
 ects of \nnon-specific binding or spatial heterogeneity across the array\,
  however \nthis practice typically causes other problems such as negative 
 corrected \nintensities and high variability of low intensity log-ratios. 
 In this talk\, \nI will present the results of a comparison of different e
 stimators of \nbackground\, and various model-based processing methods whi
 ch aim to \novercome these problems. 8 different background correction alt
 ernatives are \ncompared\, in terms of precision and bias of the resulting
  gene expression \nmeasures\, and in terms of their ability to detect diff
 erentially expressed \ngenes. Data sets where some independent truth in ge
 ne expression is known a \npriori are used in the comparison. Recommendati
 ons on the best methods to \nuse for differential expression analyses of s
 mall microarray experiments \nwill be given.
LOCATION:MR5\, Centre for Mathematical Sciences\, Wilberforce Road\, Cambr
 idge
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