Haplotype assembly is to reconstruct a pair of haplotypes from SNP values observed in a set of individual DNA fragments. In this paper, we focus on studying minimum error correction (MEC) model for the haplotype assembly problem and explore self-organizing map (SOM) methods for this problem....

With the rapid progress of genotyping techniques, many large-scale, genome-wide disease studies are now under way. One of the challenges of large disease-association studies is developing a fast and accurate computing method for haplotype inference from genotype data. In this paper, a new...

Identification of (overlapping) communities/clusters in a complex network is a general problem in data mining of network data sets. In this paper, we devise a novel algorithm to identify overlapping communities in complex networks by the combination of a new modularity function based on...

Properties of complex networks, such as small-world property, power-law degree distribution, network transitivity, and network- community structure which seem to be common to many real-world networks have attracted great interest among researchers. In this study, global information of the...