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INTRODUCTION Genetic data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) have been crucial in advancing the understanding of Alzheimer's disease (AD) pathophysiology. Here, we provide an update on sample collection, scientific progress and opportunities, conceptual issues, and future plans. METHODS Lymphoblastoid cell lines and DNA and RNA(More)
Many recent imaging genetic studies focus on detecting the associations between genetic markers such as single nucleotide polymorphisms (SNPs) and quantitative traits (QTs). Although there exist a large number of generalized multivariate regression analysis methods, few of them have used diagnosis information in subjects to enhance the analysis performance.(More)
LOF is a well-known approach for density-based outlier detection and has received much attention recently. It is important to design a privacy-preserving LOF outlier detection algorithm as the data on which LOF runs is typically spilt among multiple participants and no one is willing to disclose his sensitive information due to legal or moral(More)
A novel robust hybrid raspberry-like TiO2/PS hollow particles with complex double-shelled structures have been fabricated in large quantities by a facile swelling polymerization approach based on commercially available hollow polystyrene (PS) spheres. The crosslinked-PS protrusions are wedged firmly into the TiO2 shell, making the resultant particles both(More)
When digital forgery is introduced in a digital images, in order to create a convincing match, it always includes operation of scaling, rotation or skewing, which procedures typically require resampling and interpolation step. However, the resampling detection is always severely affected by the blocking artifacts introduced by JPEG compression. In order to(More)
The cerebrospinal fluid (CSF) levels of total tau (t-tau) and Aβ1–42 are potential early diagnostic markers for probable Alzheimer’s disease (AD). The influence of genetic variation on these CSF biomarkers has been investigated in candidate or genome-wide association studies (GWAS). However, the investigation of statistically modest associations in GWAS in(More)
An enormous amount of sequence data has been generated with the development of new DNA sequencing technologies, which presents great challenges for computational biology problems such as haplotype phasing. Although arduous efforts have been made to address this problem, the current methods still cannot efficiently deal with the incoming flood of large-scale(More)
Enrichment analysis has been widely applied in the genome-wide association studies, where gene sets corresponding to biological pathways are examined for significant associations with a phenotype to help increase statistical power and improve biological interpretation. In this work, we expand the scope of enrichment analysis into brain imaging genetics, an(More)
Genetic diseases have attracted much attention to the genetic research which depends on the data named haplotypes. Because of most haplotypes are generated from genotypes, haplotype inference (HI) problem becomes very popular. To solve this problem, we propose a new method based on EM and partition-ligation (PL) strategy. Compared to the previous methods,(More)