Gulsah Altun, Hae-jin Hu, Dumitru Brinza, Robert W. Harrison, Alex Zelikovsky, Yi Pan
Abstract—The Support Vector Machine is a powerful methodology for solving problems in nonlinear classification, function estimation and density estimation. When data are not linearly separable,...
Wei Zhong, Gulsah Altun, Robert Harrison, Phang C. Tai, Yi Pan, Senior Member
Abstract—Information about local protein sequence motifs is very important to the analysis of biologically significant conserved regions of protein sequences. These conserved regions can...
BACKGROUND Linear Programming for Protein-Protein Interaction Prediction (2008)
Gulsah Altun, Stefan Gremalschi, Robert W. Harrison, Er Zelikovsky
has been assumed that protein families that interact with each other must
Haplotype Tagging using Support Vector Machines (2008)
Jingwu He, Jun Zhang, Gulsah Altun, Er Zelikovsky, Yanqing Zhang
Abstract — Constructing a complete human haplotype map can help in associating complex diseases with SNPs (single nucleotide polymorphisms). Unfortunately, the number of SNPs is very large and it...
Specific Scoring Matrix). (2008)
Wei Zhong, Gulsah Altun, Xinmin Tian, Robert Harrison, Phang C. Tai, Yi Pan
Protein secondary structure prediction has a fundamental influence on today’s bioinformatics research. In this work, tertiary classifiers for the protein secondary structure prediction are...
Wei Zhong, Gulsah Altun, Xinmin Tian, Robert Harrison, Phang C. Tai, Yi Pan, ...
Abstract Protein secondary structure prediction has a fundamental influence on today’s bioinformatics research. In this work, tertiary classifiers for the protein secondary structure prediction are...
Efficient, Secure, Dynamic Source Routing for Ad-hoc Networks (2006)
Routing is a must for networks that do not have a fixed point-to-point infrastructure, such as in an ad hoc wireless network that offers unrestricted mobility. A source node in such a network can...