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The Polyurethane (PU) foam materials have increasingly been used as a new kind of solid insulation material, which are always inserted into post hollow composite insulators as their inner insulation section. PU foam with PU as a base material which is homogenously filled with pores, PU foam material is a possible substitute material of the air, SF6 and N2. In order to achieve a better electrical performance,...
Diversity on a large scale is one of the most striking and powerful features utilized by the mammalian immune system to fight off a vast universe of pathogens. The T-cell driven immune response is characterized by a multitude of distinct receptors capable of antigen recognition with high specificity. Using high-throughput sequencing we are able to investigate the T cell receptor (TCR) repertoire as...
Testing statistical association of individual rare variants is underpowered due to low frequency. A common approach is to test the aggregated effects of individual variants in a locus such as genes. Current methods have distinct power profiles that are determined by underlying assumptions about the genetic model and effect size. Here we describe a parametric Bayesian approach to detect the association...
Whole-genome sequencing (WGS) allows direct interrogation of previously undetected uncommon or rare variants, which potentially contribute to the missing heritability of human diseases. However, cost of sequencing large numbers of samples limits its application in case control association studies. Here, theoretical and empirical design considerations for such sequencing studies, aimed at maximizing...
Copy number variants (CNVs) are important genetic factors for studying human diseases. While high-throughput whole genome re-sequencing provides multiple lines of evidence for detecting CNVs, computational algorithms need to be tailored for different type or size of CNVs under different experimental designs. To achieve optimal power and resolution of detecting CNVs at low-depth coverage, a Hidden...
In this paper we develop a novel data description kernel based on one-class SVM (OCSVM-DD kernel) used for text-independent SVM speaker verification. The basic idea of the new kernel is to combine the data description model OCSVM with SVM discriminant classifier. Utterances are firstly mapped to the normal vector of the separating hyperplane in OCSVM model. Then a SVM classifier with linear kernel...
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