Xiaohui Yao

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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)
UDP-Galactopyranose mutase (UGM) is a flavoenzyme that catalyzes interconversion of UDP-galactopyranose (UDP-Galp) and UDP-galactofuranose (UDP-Galf); its activity depends on FAD redox state. The enzyme is vital to many pathogens, not native to mammals, and is an important drug target. We have probed binding of substrate, UDP-Galp, and UDP to wild type and(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)
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)
Discovering bi-multivariate associations between genetic markers and neuroimaging quantitative traits is a major task in brain imaging genetics. Sparse Canonical Correlation Analysis (SCCA) is a popular technique in this area for its powerful capability in identifying bi-multivariate relationships coupled with feature selection. The existing SCCA methods(More)
Which papers focusing on Alzheimer’s disease (AD) include MRI scans of human brains? These images play an important role in clinical detection of AD, but finding them currently requires manual inspection of papers after a keyword search. In order to provide AD researchers with a more efficient way of finding relevant papers, here we focus on three(More)
Identification of functional modules from biological network is a promising approach to enhance the statistical power of genome-wide association study (GWAS) and improve biological interpretation for complex diseases. The precise functions of genes are highly relevant to tissue context, while a majority of module identification studies are based on(More)