Beyond the Identification of Transcribed Sequences:
Functional, Evolutionary and Expression Analysis
12th International Workshop
October 25-28, 2002
Washington, DC


List of Abstracts * Speakers * Organizers * Authors * Original Announcement


Drawing Inferences from Microarray Data

Michael Bittner
NIH/NHGRI
50 South Drive, Building 50, Room 5154
Bethesda, MD 20892 USA
Telephone: 301 496 7980
Fax: 301 402 3241
Email: mbittner@nhgri.nih.gov

From its inception, expression profiling has been proposed as a way to develop inferences about genes’ involvement in normal and pathological processes.  Over the past few years, a wide variety of strategies for developing “candidate genes” from microarray data have been tested.  Each of these strategies has inherent minimal requirements in terms of prior knowledge of the general way in which cells operate, the specifics of the experimental system being studied, the capabilities of the profiling system and the discriminating power of the analytical tools that can be employed.  The surprising result that emerges is that even starting from widely varying levels of prior knowledge about the particular cellular process you are studying, it is still possible to draw very sharp inferences about the roles that particular genes play if you can satisfy these minimum requirements.  This presentation will examine three studies that provide examples of the levels of prior knowledge, breadth of samples available, available alternative measurements of the phenotypes and coherence of data that tend to produce interpretable, testable conclusions.



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List of Abstracts * Speakers * Organizers * Authors * Original Announcement


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