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Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation in human DNA. The sequence of SNPs in each of the two copies of a given chromosome in a diploid organism is referred to as a haplotype. Haplotype information has many applications such as gene disease diagnoses, drug design, etc. The haplotype assembly problem is defined as(More)
SaaS is a novel software model that data and applications of service are outsourced to service provider. Although SaaS model offers many benefits for small and medium enterprises, data privacy issue is the most challenge for the development of SaaS. In this paper we propose a new hybrid fragmentation approach which is different from traditional data(More)
Linkage analysis is the first step in the search for a disease gene. Linkage studies have facilitated the identification of several hundred human genes that can harbor mutations leading to a disease phenotype. In this paper, we study a very important case, where the sampled individuals are closely related, but the pedigree is not given. This situation(More)
The deep structure of scale space is essential to the further processing of an image at different resolutions to extract certain features or to carry out other requirements such as image denosing. In this paper we study the deep structure of Gaussian scale space by virtue of singularity theory. Five normal forms of Gaussian scale space are provided, which(More)
Microblogging services have been popular in recent years. There are a large number of real-time microblog messages generated in each day which results in the information overload problem especially for the users with many followees. Personalized microblog recommendation can help the users out of the trouble of information overload. It is an interesting and(More)