Electrical and computer engineering graduate student wins Texas Genetics Society's Best Poster award

ArslanEmre Arslan, a graduate student in the Department of Electrical and Computer Engineering at Texas A&M University, was named the recipient of the Best Poster award at the 44th annual meeting of the Texas Genetics Society at the George Bush Library.

Arslan received this recognition for his poster “Bayesian Method to Determine Informative Genes in High-Dimensional Biological Data.” Arslan said it is important to find informative/discriminative genes for a specific disease among thousands of possible subsets and correctly classify future samples. To overcome this problem, he proposed a Bayesian approach, which displays high accuracy while allowing biological interpretations. Arslan’s current research interests include proposing novel tools to analyze high-dimensional biological datasets such as classifiers, feature selection algorithms and pathway analysis methods. His research is supported by the Center for Bioinformatics and Genomics Systems Engineering.

“Emre has been developing innovative and accurate Bayesian classification and feature selection methods for problems in biomedicine,” said Dr. Ulisses M. Braga-Neto, associate professor in the electrical and computer engineering department. “His research efforts have the potential to produce more accurate diagnosis and prognosis tools for disease management. I am very proud of his hard work and talent, and consider this award to be eminently deserved.” 

The Texas Genetics Society was established in 1974 as a nonprofit association whose purpose is to foster the development of all aspects of genetics, to promote the exchange of research results and the teaching of genetics, and to provide a forum for discussion of matters of interest to all geneticists. Membership is open to all persons interested in genetics research, the training of geneticists and the delivery of genetic services.