Christine W Duarte

Summary

Affiliation: University of Alabama at Birmingham
Country: USA

Publications

  1. pmc Expression signature of IFN/STAT1 signaling genes predicts poor survival outcome in glioblastoma multiforme in a subtype-specific manner
    Christine W Duarte
    Department of Biostatistics Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
    PLoS ONE 7:e29653. 2012
  2. pmc High-confidence discovery of genetic network regulators in expression quantitative trait loci data
    Christine W Duarte
    Department of Biostatistics, Section on Statistical Genetics, University of Alabama, Birmingham, Alabama 35294 0022, USA
    Genetics 187:955-64. 2011
  3. pmc Beyond missing heritability: prediction of complex traits
    Robert Makowsky
    Department of Biostatistics, University of Alabama at Birmingham, Alabama, United States of America
    PLoS Genet 7:e1002051. 2011
  4. pmc MARCKS regulates growth and radiation sensitivity and is a novel prognostic factor for glioma
    John S Jarboe
    The Departments of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL 35249, USA
    Clin Cancer Res 18:3030-41. 2012
  5. pmc Associations of obesity genes with obesity-related outcomes in multiethnic children
    Yann C Klimentidis
    Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1530 Third Avenue South, Birmingham, AL 35294 3360, USA
    Arch Med Res 42:509-14. 2011
  6. pmc Using protein abundance to indicate underlying mRNA expression levels in E.coli: an SEM modelling approach
    Jacqueline J Harris
    Department of Biostatistics, University of Alabama, Birmingham, AL 35294, USA
    Int J Comput Biol Drug Des 4:387-95. 2011

Collaborators

Detail Information

Publications6

  1. pmc Expression signature of IFN/STAT1 signaling genes predicts poor survival outcome in glioblastoma multiforme in a subtype-specific manner
    Christine W Duarte
    Department of Biostatistics Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
    PLoS ONE 7:e29653. 2012
    ....
  2. pmc High-confidence discovery of genetic network regulators in expression quantitative trait loci data
    Christine W Duarte
    Department of Biostatistics, Section on Statistical Genetics, University of Alabama, Birmingham, Alabama 35294 0022, USA
    Genetics 187:955-64. 2011
    ....
  3. pmc Beyond missing heritability: prediction of complex traits
    Robert Makowsky
    Department of Biostatistics, University of Alabama at Birmingham, Alabama, United States of America
    PLoS Genet 7:e1002051. 2011
    ..While such R(2) values vastly exceed what has been previously reported using a reduced number of pre-selected markers (<0.10), given the heritability of the trait (∼ 0.80), substantial room for improvement remains...
  4. pmc MARCKS regulates growth and radiation sensitivity and is a novel prognostic factor for glioma
    John S Jarboe
    The Departments of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL 35249, USA
    Clin Cancer Res 18:3030-41. 2012
    ..This study assessed whether myristoylated alanine-rich C-kinase substrate (MARCKS) can regulate glioblastoma multiforme (GBM) growth, radiation sensitivity, and clinical outcome...
  5. pmc Associations of obesity genes with obesity-related outcomes in multiethnic children
    Yann C Klimentidis
    Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1530 Third Avenue South, Birmingham, AL 35294 3360, USA
    Arch Med Res 42:509-14. 2011
    ....
  6. pmc Using protein abundance to indicate underlying mRNA expression levels in E.coli: an SEM modelling approach
    Jacqueline J Harris
    Department of Biostatistics, University of Alabama, Birmingham, AL 35294, USA
    Int J Comput Biol Drug Des 4:387-95. 2011
    ..coli. This method can be used to find the optimal protein measurements that explain underlying mRNA expression, and better understand the proteomic and transcriptomic relationship in E.coli gene expression...