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Title
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Statistical Methods for Microarray Studies
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Date / Time / Room
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Sponsor
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Type
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08/13/2002
1:00 PM -
5:00 PM
Room: S-Conference Room E
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ASA, Biopharmaceutical Section*
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Other
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Organizer:
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n/a
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Chair:
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n/a
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CE Presenter
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Emmanuel N. Lazaridis - International Agency for Research on Cancer
Emmanuel N. Lazaridis - International Agency for Research on Cancer
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Description
The course will focus on analysis of RNA expression data derived from microarray images. Examples of experimental designs and data from actual experiments employing different kinds of microarray techniques will be described. Both oligonucleotide and spotted arrays will be covered. Especially important will be examples that illustrate the interrelationship between imaging and statistical methods. The course will introduce an ontology of analytic methods, briefly cover data-mining techniques, and concentrate on methods for hypothesis-driven research. Analytic methods to be covered will include hierarchical clustering and related clustering methods, analytic probe selection, ANOVA, principle component analyses, latent class modeling, and recent developments in robust methods and Bayesian approaches. A prerequisite for this course is familiarity with traditional and recently developed experimental techniques in molecular biology. Attendees should understand the basics of cellular functioning at the molecular level as well as various experiments to measure changes in molecular characteristics. The requisite knowledge can be obtained by attending "Introduction to Molecular Biology and Bioinformatics Studies for Analysts" presented on Monday, August 12 (2002-20C).
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