This course covers analysis of gene expression data obtained using DNA microarrays. The course provides an in depth understanding of the statistical basis and relative merits of a wide variety of visualization and analysis methods, prepares the participant to develop an analysis strategy tailored to the objectives of their study and provides detailed information on employing analysis methods optimally. The course goes beyond teaching how to operate software packages but includes a review of available software and information technology strategies for managing and utilizing microarray data. Analysis of both cDNA and oligonucleotide arrays is covered. Students will be instructed on the use of BRB-ArrayTools software (http://linus.nci.nih.gov/BRB-ArrayTools.html ), and will be provided a copy of the software and a computer to use in addressing the problem sets assigned during the course. Students will be able to discuss strategies and problems in the analysis of their own data with the instructors. The course will also address study design issues such as level of replication, sample size, and use of internal reference samples.

The course is designed for biologists but will also be valuable for statisticians, computer scientists and others who want a strong fundamental understanding of methods for the analysis of DNA microarray data.

The course will take place in the teaching room of the Weiss Building at Rockefeller University, which is equipped with desktop PCs. The course will begin at 9am on Thursday January 23rd and it is recommended that participants arrive in New York on Wednesday evening. The course will be 3 full days plus an optional session Friday night to discuss microarray studies of the participants. The course will end at 5pm on Saturday. For additional information, please contact Katherine Montague: montagk@mail.rockefeller.edu, Tel +1 (212) 327-7979 or Fax +1 (212) 327-7996. The number of participants is limited to 25. Participants are generally accepted on a first come, first served basis, so applications should be sent in as soon as possible.

The fee for the 3-day course is $750 for researchers at academic institutions, and $1200 for individuals from private (for profit) companies. Send no money now. Applicants accepted for the course will receive payment instructions. The fee covers tuition and course related expenses but not room, board or meals. Course participants will receive a list of good and moderately priced hotels ($75+) in New York and will have to make their own arrangements (except foreign participants).

Instructors

Dr. Richard Simon is Chief of the Biometric Research Branch and Head of the Molecular Statistics & Bioinformatics Section of the National Cancer Institute*. He has been a pioneer in the development and application of mathematical, statistical and computational methods for biomedical research, with over 300 publications. He is an elected fellow of the American Statistical Association, a member of the Committee on Theoretical and Applied Statistics of the National Research Council and has served on the Oncologic Drug Advisory Committee of the Food and Drug Administration. He has been involved in the development and application of methodology for the analysis of DNA microarray expression data for several years, has been involved in major studies using microarray data for disease classification and drug development, has organized major national meetings on analysis methodology for DNA microarray studies and is the architect of BRB-ArrayTools, an integrated package for the analysis of microarray data.

* The National Cancer Institute does not sponsor this course and the opinions expressed by Dr. Simon do not represent official policies of the NCI.

Dr. Jurg Ott is Professor and Head of the Laboratory of Statistical Genetics at Rockefeller University. He is well known for his statistical/mathematical modeling work in gene mapping and is the author of the first generally available linkage analysis program (LIPED). He is an elected fellow of the American Association for the Advancement of Science, a member of HUGO. He has had ten students at Columbia and Rockefeller Universities and about twice as many collaborators at the postdoctoral and Assistant Professor level.

Dr. Yaning Yang is a Research Assistant Professor in the Laboratory of Statistical Genetics at Rockefeller University. He is a member of the International Biometrics Society's Eastern North American Region (ENAR). His current research includes low-level model-based statistical analysis on microarray data, discriminant analysis for cancer classification via gene expressions.

Application

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We can make reservations for participants from outside the U.S. and Canada.
We will send all course participants a list of hotels selected for
representing good value at lower cost.

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