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[colloquium] Helen Berman is giving the CS colloquium on Wednesday
by Thomas A. Funkhouser 10 Oct '05

10 Oct '05

Helen Berman, director of the Protein Data Bank, will be visiting Princeton on Wednesday and giving a talk in the CS colloquium at 4PM in the small auditorium (Room 105). #################################################### The Protein Data Bank: Structure and Function Helen Berman The Protein Data Bank is the international repository for the structures of all biological macromolecules. The ways in which the data are represented, collected, archived, and queried will be described. The ways in which the PDB resource has been designed so as to accommodate a very diverse user community will be discussed.

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[colloquium] TUTORIAL TODAY: Experimental Design and Statistical Analysis for Microarray Experiments
by Steven Kleinstein 07 Oct '05

07 Oct '05

** 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.

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