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Single nucleotide polymorphisms (SNPs) are the most common form of genetic variant in humans, which can be generally classified into disease related mutations and common ones. It has been generally accepted that SNPs caused amino acid substitutions are of particular interest as candidates for affecting susceptibility to complex diseases, such as cancer, which is a serious public issue affecting millions...
Conotoxins show prospects for being potent pharmaceuticals in the treatment of some serious disease. Accurate prediction of conotoxin superfamily would have many important applications in biological research and clinical medicine. In this study, we propose a novel dHKNN method to predict conotoxin superfamily. Firstly, we extract the protein's sequential features composed of physicochemical properties,...
This paper proposes an energy detection based time of arrival (TOA) estimation scheme for impulse radio ultra-wideband (IR-UWB) systems. The proposed scheme is composed of two stages in performing the TOA estimation: initial signal acquisition (ISA) and fine timing estimation (FTE). In the ISA stage, a linear quadrature optimization based weighting scheme is proposed to coarsely capture the arrival...
Ordered information table is one of the most important research areas of granular computing. In this thesis, we introduce multiple decisions ordered information tables based on the concept of ordered information tables. Multiple decisions ordered information tables are used to describe the actual multiple decision attributes situation of reality. We study the process of rule extraction from multiple...
In this paper, one of the problems of linear discriminant analysis (LDA), that is, it pays more attention on minimizing the within-class scatter than on maximizing the between-class scatter, is treated. Though the weighted maximum margin criterion (WMMC) with an appropriate weighted coefficient can solve this problem, how to select this coefficient automatically is still difficult as most of previous...
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