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STATISTICAL METHODS IN MICROARRAY ANALYSIS
(2 - 31 January 2004)

Organizers · Confirmed Visitors · Overview · Activities · Membership Application

 Organizers

Chair

  • Terry Speed (University of California at Berkeley and Walter & Eliza Hall Institute of Medical Research, Australia)

Co-chairs

  • Ming-Ying Leung (University of Texas at El Paso)
  • Louxin Zhang (National University of Singapore)

Members

  • Anthony Kuk (National University of Singapore)
  • Art Owen (Stanford University)
  • Sylvia Richardson (Imperial College)
  • Wing Hung Wong (Harvard University)

 Confirmed Visitors

 Overview

Today, the expression of thousands of genes are measured simultaneously using microarrays. This technology has been recognized by the biomedical scientists as a powerful tool for gene discovery, expression profiling, as well as the diagnosis and classification of cancers and other diseases. Over the last few years, the development and application of the microarray technology have given rise to many problems that need to be addressed by the collective knowledge and skills of the mathematical and biological scientists.

In particular, problems inherent to the microarray technologies have raised important issues of how to apply adequate statistical tests. For example, a microarray experiment provides a set of measurements containing several thousand numbers, one for each gene on the array. Microarray technologies are still not sufficiently stable, so that if an experiment is repeated twice, we are likely to obtain two quite different sets of measurements. This gives rise to the problem of how to normalize the data so that we get a true measurement in a statistically robust manner. Other problems include the classification of a tissue sample to be diseased or normal, and the grouping of genes with similar functions. These all involve detailed statistical analysis outside of the pool of well established routine statistical procedures. As a consequence, new statistical methods tailored to microarrays, continue to be developed and adapted in the last few years. It will be of interest and benefit to the mathematical and scientific community to bring together a group of leading researchers in this field to discuss their current work and exchange ideas, among themselves as well as with local researchers, for addressing the main statistical challenges in the future. This is the primary aim of our proposed program in "Statistical Methods in Microarray Analysis".

Another aim of this workshop is to foster collaboration among local medical researchers and mathematicians. In Singapore, apart from a number of mathematicians and statisticians interested in the statistical aspects of microarrays, several groups of biologists and medical researchers are using microarray technology. All of these research groups need novel, robust statistical methods and tools for analyzing microarray data.

 Activities

There will be a tutorial on background material and a workshop at research level, in addition to seminars and informal discussions.

IMS Membership is not required for participation in workshops or tutorials. For attendance at these activities, please complete the registration form (MSWord|PDF|PS) and fax it to us at (65) 6873 8292 or email it to us at ims@nus.edu.sg. (Due to over whelming responses, registration for both tutorial and workshop are now closed)

If you are an IMS member or are applying for IMS membership, you do not need to register for these activities.

 Membership Application

The Institute for Mathematical Sciences invites applications for membership for participation in the above program. Limited funds to cover travel and living expenses are available to young scientists. Applications should be received at least four (4) months before the commencement of membership. Application form is available in (MSWord|PDF|PS) format for download.

More information is available by writing to:
Secretary
Institute for Mathematical Sciences
National University of Singapore
3 Prince George's Park Singapore 118402
Republic of Singapore
or email to imssec@nus.edu.sg.

For enquiries on scientific aspects of the program, please email Ming-Ying Leung at mleung@utep.edu or Louxin Zhang at matzlx@nus.edu.sg.

Organizers · Confirmed Visitors · Overview · Activities · Membership Application