Xi Wang

Summary

Affiliation: Tsinghua University
Location: Beijing, China
URL: http://bioinfo.au.tsinghua.edu.cn/member/xwang/

Publications

  1. ncbi Prediction of transcription start sites based on feature selection using AMOSA
    Xi Wang
    Bioinformatics Division, TNLIST and Department of Automation, Tsinghua Univ, Beijing 100084, China
    Comput Syst Bioinformatics Conf 6:183-93. 2007
  2. ncbi Predicting the fate of microRNA target genes based on sequence features
    Yunfei Pei
    MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua University, Beijing 100084, China
    J Theor Biol 261:17-22. 2009
  3. ncbi DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
    Likun Wang
    MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua, University, Beijing 100084, China
    Bioinformatics 26:136-8. 2010
  4. ncbi Isoform abundance inference provides a more accurate estimation of gene expression levels in RNA-seq
    Xi Wang
    MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua University, Beijing, P R China
    J Bioinform Comput Biol 8:177-92. 2010
  5. ncbi Using non-uniform read distribution models to improve isoform expression inference in RNA-Seq
    Zhengpeng Wu
    TNLIST Department of Automation, Tsinghua University, Beijing 100084, China
    Bioinformatics 27:502-8. 2011

Collaborators

Detail Information

Publications5

  1. ncbi Prediction of transcription start sites based on feature selection using AMOSA
    Xi Wang
    Bioinformatics Division, TNLIST and Department of Automation, Tsinghua Univ, Beijing 100084, China
    Comput Syst Bioinformatics Conf 6:183-93. 2007
    ..This system is found to be comparable to, often better than, several existing methods in terms of different quantitative performance measures...
  2. ncbi Predicting the fate of microRNA target genes based on sequence features
    Yunfei Pei
    MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua University, Beijing 100084, China
    J Theor Biol 261:17-22. 2009
    ..Further analysis shows that four out of the five studied miRNAs probably share similar regulatory mechanisms on their target genes...
  3. ncbi DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
    Likun Wang
    MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua, University, Beijing 100084, China
    Bioinformatics 26:136-8. 2010
    ..AVAILABILITY: The R package and a quick-start vignette is available at http://bioinfo.au.tsinghua.edu.cn/software/degseq..
  4. ncbi Isoform abundance inference provides a more accurate estimation of gene expression levels in RNA-seq
    Xi Wang
    MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST Department of Automation, Tsinghua University, Beijing, P R China
    J Bioinform Comput Biol 8:177-92. 2010
    ....
  5. ncbi Using non-uniform read distribution models to improve isoform expression inference in RNA-Seq
    Zhengpeng Wu
    TNLIST Department of Automation, Tsinghua University, Beijing 100084, China
    Bioinformatics 27:502-8. 2011
    ..The experiments indicate that incorporating N-URD information can improve the accuracy in modeling and inferring isoform expression in RNA-Seq...