Jianqiang Sun

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Differential expression analysis based on “next-generation” sequencing technologies is a fundamental means of studying RNA expression. We recently developed a multi-step normalization method (called TbT) for two-group RNA-seq data with replicates and demonstrated that the statistical methods available in four R packages (edgeR, DESeq, baySeq, and NBPSeq)(More)
RNA-seq is a powerful tool for measuring transcriptomes, especially for identifying differentially expressed genes or transcripts (DEGs) between sample groups. A number of methods have been developed for this task, and several evaluation studies have also been reported. However, those evaluations so far have been restricted to two-group comparisons.(More)
Nowadays, people usually depend on augmented reality (AR) systems to obtain an augmented view in a real-world environment. With the help of advanced AR technology (e.g. object recognition), users can effectively distinguish multiple objects of different types. However, these techniques can only offer limited degrees of distinctions among different objects(More)
The processive phosphorylation mechanism becomes important when there is macromolecular crowding in the cytoplasm. Integrating the processive phosphorylation mechanism with the traditional distributive one, we propose a mixed dual-site phosphorylation (MDP) mechanism in a single-layer phosphorylation cycle. Further, we build a degree model by applying the(More)
The core circadian oscillator of cyanobacteria consists of three proteins, KaiA, KaiB, and KaiC. This circadian oscillator could be functionally reconstituted in vitro with these three proteins, and therefore has been a very important model in circadian rhythm research. KaiA can bind to KaiC and then stimulate its phosphorylation, but their interaction(More)
The authors investigate the relationship between public information and market activities by utilizing event studies and employing data from the stock markets in Mainland China. The major findings are: (1) Public information has significant impact on market activity in Chinese stock markets. (2) Both pre-disclosure and lagged reactions exist or the markets(More)
The R/Bioconductor package, TCC, provides users with a robust and accurate framework to perform differential expression (DE) analysis of tag count data. We recently developed a multi-step normalization method (TbT; Kadota et al., 2012 [3]) for two-group RNA-seq data. The strategy (called DEGES) is to remove data that are potential differentially expressed(More)
Sun et al (2008) developed a quasi-analytical pricing model for arithmetic Asian option bases on an approximate relationship between the geometric and arithmetic average of the log-normal random variable. We perform extensive numerical experiments to investigate the accuracy of the model. The numerical evidences show that the accuracy of the method depends(More)
We use methods of random matrix theory (RMT) to investigate the information content of the cross correlation matrix C of Shanghai stock exchange (SSE) for the period Jan 2, 2001 to May 30, 2008. We find that, the statistics of most of the eigenvalues in the spectrum of C agree with the predictions of random matrix theory, 92.6% of the eigenvalues fall(More)