Wangshu Zhang

Learn More
The identification of genes responsible for human inherited diseases is one of the most challenging tasks in human genetics. Recent studies based on phenotype similarity and gene proximity have demonstrated great success in prioritizing candidate genes for human diseases. However, most of these methods rely on a single protein-protein interaction (PPI)(More)
Recent advances in highly parallel, multithreaded, manycore Graphics Processing Units (GPUs) have been enabling massive parallel implementations of many applications in bioinformatics. In this paper, we describe a parallel implementation of genome-wide association studies (GWAS) using Compute Unified Device Architecture (CUDA). Using a single NVIDIA GTX 280(More)
With the accelerating advancement of biomedical research, it has been widely accepted that genetic variation plays a critical role in the pathogenesis of human inherited diseases. As an important type of genetic variation, nonsynonymous single nucleotide polymorphisms (nsSNPs) that occur in protein coding regions lead to amino acid substitutions in(More)
Domains are basic units of proteins, and thus exploring associations between protein domains and human inherited diseases will greatly improve our understanding of the pathogenesis of human complex diseases and further benefit the medical prevention, diagnosis and treatment of these diseases. Within a given domain-domain interaction network, we make the(More)
Chinese medicinal herbs have a similar appearance and are easily confused, complicating identification via traditional methods. This study provided a scientific approach, based on DNA barcoding, to accurately and rapidly identify Anoectochilus roxburghii and its adulterants. This technology complements traditional methods of identification of medicinal(More)
The combined use of gene expression profiles and protein-protein interaction (PPI) networks has recently shed light on breast cancer research by selecting a small number of subnetworks as disease markers and then using them for the classification of metastasis. Based on previously identified subnetwork markers, we compare three ensemble learning approaches(More)
OBJECTIVES The aim of this systematic review was to compare the postnatal outcomes, genetic testing results, and sonographic findings in 3 subtypes of tetralogy of Fallot. METHODS Thirty-six articles from the MEDLINE and EMBASE databases were selected for this review. The postnatal outcomes, karyotyping results, and sonographic findings of fetal tetralogy(More)
Protein domains can be viewed as portable units of biological function that defines the functional properties of proteins. Therefore, if a protein is associated with a disease, protein domains might also be associated and define disease endophenotypes. However, knowledge about such domain-disease relationships is rarely available. Thus, identification of(More)
Considering a multicast scenario, we want to minimize the resources used for network coding while achieving the desired throughput. We demonstrate a standard genetic algorithm (GA) approach to the solution of this NP-hard problem. Features of standard GA are shown through simulations, based on which we propose our improved GA approach. By enlarging initial(More)
The postsynaptic density (PSD) contains a collection of scaffold proteins used for assembling synaptic signaling complexes. However, it is not known how the core-scaffold machinery associates in protein-interaction networks or how proteins encoded by genes involved in complex brain disorders are distributed through spatiotemporal protein complexes. Here(More)
  • 1