[colloquium] TUTORIAL TODAY: Experimental Design and Statistical Analysis for Microarray Experiments

[Steven Kleinstein]

** PICASso:
** Program in Integrative Information, Computer and Application Sciences
** www.cs.princeton.edu/picasso
** Experimental Design and Statistical Analysis
**     for Microarray Experiments
** October 7 (1:30 - 5:00 PM)
** Small Auditorium, Computer Science Building (room 105)
** http://www.cs.princeton.edu/picasso?events.html

PICASso is pleased to announce an introductory tutorial on
"Experimental Design and Statistical Analysis for Microarray
Experiments" taught by Thomas J. Downey (President, Partek Inc).

Microarray data contains treatment and/or phenotype effects
embedded in a sea of technical and biological noise. This mini-course
will demonstrate how to use proven statistical methods of experiment
design and analysis of variance (ANOVA) to reliably identify biological
effects of interest while controlling and removing noise due to biological
and technical nuisance effects. Attendees will learn what ANOVA means,
what it does, and how it can be used to isolate and remove unwanted
technical and biological noise, clearly revealing the signals from the
biological factors of interest. In addition, estimates of ratios and
fold-changes will be examined from a statistical perspective. The impact of
the
assumptions of normality, equal variance, and independence will also be
addressed for small

sample sizes and for large studies as well. Finally, a variety of
statistical
visualizations will be used to interpret the results of the analysis.

This tutorial is designed for researchers performing microarray,
or any genomic, or biological studies, but also useful for those
wishing to learn more about designing and analyzing experiments
in a way that results in substantial noise reduction. It will be held
on Princeton's main campus today, October 7th (1:30 - 5:00 PM), Computer
Science Building, small auditorium (room 105).

All are welcome! Registration is not required.