Howard University

Title: Using Support Vector Machines to Classify Microarray Data

Director(s): Louise A. Raphael, Daniel A. Williams, Department of Mathematics

Dates of Program: May 23 - July 1, 2005

Summary: In the first part of the REU, the Howard University students will classify DNA microarray data by K-means clustering and principal component analysis (PCA) using MATLAB. They will write a MATLAB program for K-means and develop the theory for PCA.

In the second part of the REU, basic concepts of support vector machines (SVM) will be presented and the DNA microarray data used in the first part will be classified using SVM. Classification results will be compared with those obtained by K-means and PCA.

View pictures from the workshop

Student Researchers:

Michelle Burke, Washington, DC
Lester Duruewuru, Washington, DC
Jonathan Watkins, Alexandria, VA
Kendall Williams, Dallas, TX

Volunteers:

Soumaila Diarra, Silver Spring, MD
Ron Rogers, Trinidad, West Indies

Program Contacts:

Bill Hawkins
MAA SUMMA
bhawkins@maa.org
202-319-8473

Michael Pearson
MAA Programs & Services
pearson@maa.org
202-319-8470