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POST-CONFERENCE SHORT COURSE
IV*
Using
Classical Statistics & Experiment Design, Reduce Noise in Your Next
Microarray Experiment *
Wednesday, August 23
9-12am
8:30
am Registration for Morning Short Courses
9-12am
Using Classical Statistics & Experiment Design, Reduce Noise in Your
Next Microarray Experiment
Mr. Thomas J. Downey, President, Partek, Inc.
Microarray data contains treatment and/or phenotype effects embedded in
a sea of technical and biological noise. This workshop will demonstrate
how touse proven statistical methods of experiment design and data
analysis to reliably identify biological effects of interest while
controlling andremoving noise due to biological and technical nuisance
effects. Attendees will learn how to employ completely randomized block
designs to isolate and remove batch effects due to processing batches,
etc. clearly revealing thesignals from the biological factors of
interest. In addition to p-values, estimates of ratios and fold-changes
will be examined from a statisticalperspective. The techniques will be
demonstrated using published Affymetrix gene expression and exon
experiments. Attendees will learn how to apply and interpret statistical
techniques such as analysis of variance (ANOVA) -including mixed linear
models and linear contrasts, multiple testcorrections, and principal
components analysis.
Who
should attend?
This workshop is designed for scientists who design and analyze
microarray experiments, and would like to learn the statistical
techniques that will lead to reliable, reproducible biological results.
*Separate
Registration Required
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