Now showing items 1-3 of 3

    • Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD 

      Chu, Jen-hwa; Hersh, Craig P; Castaldi, Peter J; Cho, Michael H; Raby, Benjamin A; Laird, Nan; Bowler, Russell; Rennard, Stephen; Loscalzo, Joseph; Quackenbush, John; Silverman, Edwin K (BioMed Central, 2014)
      Background: The investigation of complex disease heterogeneity has been challenging. Here, we introduce a network-based approach, using partial correlations, that analyzes the relationships among multiple disease-related ...
    • Germline variants and advanced colorectal adenomas: Adenoma Prevention with Celecoxib trial genome-wide association study 

      Wang, Jiping; Carvajal-Carmona, Luis G.; Chu, Jen-Hwa; Zauber, Ann G.; KUBO, Michikai; Matsuda, Koichi; Dunlop, Malcolm; Houlston, Richard S.; Sieber, Oliver; Lipton, Lara; Gibbs, Peter; Martin, Nicholas G.; Montgomery, George Glennon; Young, Joanne; Baird, Paul N.; Ratain, Mark J.; Nakamura, Yusuke; Weiss, Scott Tillman; Tomlinson, Ian; Bertagnolli, Monica Marie (American Association for Cancer Research (AACR), 2013)
      Purpose: Identification of single nucleotide polymorphisms (SNPs) associated with development of advanced colorectal adenomas. Experimental Design: Discovery Phase: 1,406 Caucasian patients (139 advanced adenoma cases ...
    • A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism 

      Chu, Jen-Hwa; Weiss, Scott Tillman; Carey, Vincent James; Raby, Benjamin Alexander (BioMed Central, 2009)
      Background: Graphical models (e.g., Bayesian networks) have been used frequently to describe complex interaction patterns and dependent structures among genes and other phenotypes. Estimation of such networks has been a ...