Now showing items 1-5 of 5

    • Knowledge-guided gene ranking by coordinative component analysis 

      Wang, Chen; Xuan, Jianhua; Li, Huai; Wang, Yue; Zhan, Ming; Hoffman, Eric P; Clarke, Robert (2010-03-30)
      Abstract Background In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those genes that are strongly associated with ...
    • Knowledge-guided multi-scale independent component analysis for biomarker identification 

      Chen, Li; Xuan, Jianhua; Wang, Chen; Shih, Ie-Ming; Wang, Yue; Zhang, Zhen; Hoffman, Eric; Clarke, Robert (2008-10-06)
      Abstract Background Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify ...
    • Knowledge-guided multi-scale independent component analysis for biomarker identification 

      Chen, Li; Xuan, Jianhua; Wang, Chen; Shih, Ie-Ming; Wang, Yue; Zhang, Zhen; Hoffman, Eric; Clarke, Robert (2008-10-06)
      Abstract Background Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify ...
    • Motif-directed network component analysis for regulatory network inference 

      Wang, Chen; Xuan, Jianhua; Chen, Li; Zhao, Po; Wang, Yue; Clarke, Robert; Hoffman, Eric (2008-02-13)
      Abstract Background Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data and ChIP-on-chip data are available. ...
    • Motif-directed network component analysis for regulatory network inference 

      Wang, Chen; Xuan, Jianhua; Chen, Li; Zhao, Po; Wang, Yue; Clarke, Robert; Hoffman, Eric (2008-02-13)
      Abstract Background Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data and ChIP-on-chip data are available. ...