CSE Doctoral Student Paper is Best at IEEE BIBE Conference
Wednesday, April 8, 2015
Ashis Biswas, a doctoral student in the Computer Science and Engineering Department, was awarded Best Paper honors at the recent IEEE International Conference on Bioinformatics and Bioengineering.
With co-authors Bao Zhang, Xiao Wu, and faculty advisor Jean Gao, Biswas wrote a paper entitled, “NMF-based LncRNA-Disease Association Inference and Bi-clustering.”
According to Biswas, accumulated evidence over the past decade shows that long non-coding ribonucleic acids (lncRNAs), the non-protein coding transcripts longer than 200 nucleotides, are associated with many dysregulations in various biological processes implicating quite a large number of human diseases. A comprehensive understanding of such associations is critical to basic biomedical science, new diagnosis, novel drug discovery, and future research in this domain. However, very little is known about the association of lncRNAs with diseases as compared to the exponential rate of reported lncRNAs data.
“We have developed an efficient computational methodology, sparse non-negative matrix factorization, to disclose the collective effects of lncRNAs. Our models can not only reveal the lncRNA-diseases associations, but also can group lncRNAs and different diseases based on their genetic similarity. We are excited that our work won the best paper award at the IEEE BIBE. The award definitely will motivate me and my research fellows in the Biomedical Computing and Intelligent Systems Lab (BioMeCIS) supervised by Professor Gao,” Biswas said.
Biswas’s research focuses on the development of efficient computational algorithms to solve large data size biomedical problems with an emphasis on genomics study.