Dustin Potter



E-mail dpotter@vbi.vt.edu

I am a graduate student in the doctoral program in the Department of Mathematics at Virginia Tech.

Contact Information:

Virginia Bioinformatics Institute
Bioinformatics Facility II
Virginia Tech, Blacksburg, VA 24061
540-231-3448

Projects:

Comparative microarray analysis via subspace arrangements

In collaboration with life scientists, Karen Duca, Pedro Mendes, and Brett Tyler at Virginia Bioinformatics Institute (VBI), and mathematicians, Reinhard Laubenbacher at VBI and Hélène Barcelo at ASU, we have developed a method, called microBLAST, that integrates gene expression data with biological functional information in order to make global comparisons of gene expression data, or any other high-throughput data. The gene expression data is represented by a subspace arrangement in which subspaces correspond to groups of genes that are related with respect to either expression values or possibly biological attributes (i.e. they are members of the same metabolic pathway; they encode for proteins with similar protein motifs; etc.). Integrating biological information and gene expression data is a benefit over standard microarray analysis techniques such as data clustering or statistical metrics: by incorporating such information, similarities between biological samples are not determined solely by correlations between expression levels, but by underlying functionality similarities as well.

Publications:

  1. D. Potter, R. Laubenbacher, K. Duca. microBLAST: an integrated method for comparative microarray analysis. (submitted).
  2. M. Day, J. Hall, J. Menendez, D. Potter, I. Rothstein. Robust optimal service analysis of single-server re-entrant queues. Computational Optimization and Applications: An International Journal 22, 261 - 302, 2002.

Supplementary material for "microBLAST: an integrated method for comparative microarray analysis":

Presentations:

Education:


Curriculum Vitae