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SUMMARY:"Removing Unwanted Variation with Negative Controls"
DTSTART:20150310T090000
DTEND:20150310T100000
DTSTAMP:20260407T130015Z
UID:45130ebd24c249ecfebc75497e041f75a5ce1469a45edf57629fbb8c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Johann GAGNON-BARTSCH (University of California - Berkel
 ey) \nHigh-throughput biological data\, such as microarray data and gene s
 equencing data\, are plagued by unwanted variation -- systematic errors in
 troduced by variations in experimental conditions such as temperature\, th
 e chemical reagents used\, etc. This unwanted variation is often stronger 
 than the biological variation of interest\, making analysis of the data ch
 allenging\, and severely impeding the ability of researchers to capitalize
  on the promise of the technology.\nOne of the biggest challenges to remov
 ing unwanted variation is that the factors causing this variation (tempera
 ture\, atmospheric ozone\, etc.) are unmeasured or simply unknown. This ma
 kes the unwanted variation difficult to identify\; the problem is essentia
 lly one of unobserved confounders. In my talk\, I will discuss the use of 
 negative controls to help solve this problem. A negative control is a vari
 able known a priori to be unassociated with the biological factor of inter
 est. I will begin with an example that will introduce the notion of negati
 ve controls\, and demonstrate the effectiveness of negative controls in de
 aling with unwanted variation. I will then discuss negative controls more 
 generally\, including a comparison with instrumental variables.
LOCATION:BI A0 448 (CIB) http://plan.epfl.ch/?lang=fr&room=BI+A0+448+%28CI
 B%29
STATUS:CONFIRMED
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