Lijun Cai

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Gene selection based on microarray data, is highly important for classifying tumors accurately. Existing gene selection schemes are mainly based on ranking statistics. From manifold learning standpoint, local geometrical structure is more essential to characterize features compared with global information. In this study, we propose a supervised gene(More)
Sparse representation classification (SRC) is one of the most promising classification methods for supervised learning. This method can effectively exploit discriminating information by introducing a [Symbol: see text]1 regularization terms to the data. With the desirable property of sparisty, SRC is robust to both noise and outliers. In this study, we(More)
Time-course gene expression datasets, which record continuous biological processes of genes, have recently been used to predict gene function. However, only few positive genes can be obtained from annotation databases, such as gene ontology (GO). To obtain more useful information and effectively predict gene function, gene annotations are clustered together(More)
Candida glabrata is an important microorganism used in commercial fermentation to produce pyruvate, but very little is known about its mechanisms for surviving acid stress in culture. In this study, it was shown that transcription factors Asg1p and Hal9p play essential roles in C. glabrata in the tolerance of acid stress, as the deletion of CgASG1 or CgHAL9(More)
RNA silencing is a potent antiviral response in plants. As a counterdefense, most plant and some animal viruses encode RNA silencing suppressors. In this study, we showed that Pns6, a putative movement protein of Rice ragged stunt virus (RRSV), exhibited silencing suppressor activity in coinfiltration assays with the reporter green fluorescent protein (GFP)(More)
Various strategies can be used to select representative single nucleotide polymorphisms (SNPs) from a large number of SNPs, such as tag SNP for haplotype coverage and informative SNP for haplotype reconstruction, respectively. Representative SNPs are not only instrumental in reducing the cost of genotyping, but also serve an important function in narrowing(More)
Affected by various factors (genes, living habits and so on), different people present distinct aging patterns. To discover the underlying trend of aging patterns, we propose an effective age estimation method based on DGPLVM (Discriminative Gaussian Process Latent Variable Model). DGPLVM is a kind of discriminative latent variable method for manifold(More)