(microarray picture)
Statistics for Microarrays

Instructor: Darlene Goldstein

Announcements
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DNA microarrays are being applied increasingly in biological and medical research to address a wide range of questions, for example, to study the molecular basis of complex diseases like cancer and detect genes associated with survival or other clinical outcomes. Microarray experiments generate large and complex multivariate datasets. Careful statistical design and analysis are essential to improve the efficiency and reliability of microarray experiments throughout the data acquisition and analysis process.

The purpose of this course is to provide a complete overview of this new field to statisticians and mathematicians; those whose primary background is biology should also find it useful. NO biological background is assumed: all relevant biology will be covered in class. Intended topics include array technology and experiment design, data collection, pre-processing (image analysis and normalization), and data analysis, including clustering, discrimination, and model-based analyses. Open questions and active areas of research will also be highlighted.

Unless otherwise indicated on the schedule, the class meets Mondays from 10 -- 12 at EPFL in MA 12. To meet with me, please see me after class or in MA 111 on Monday afternoons (till about 14.30 or 15.00). If those times are inconvenient, see me or send email to make an appointment.