Howard University
Title:
Using Support Vector Machines to Classify Microarray Data
Director(s):
Louise A. Raphael, Daniel A. Williams, Department of Mathematics
Email:
lraphael@howard.edu
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