R D Wolfinger

Summary

Affiliation: SAS Institute
Country: USA

Publications

  1. pmc Analysis of variation of amplitudes in cell cycle gene expression
    Delong Liu
    CIIT Ceters for Health Research, 6 Davis Drive, Research Triangle Park, NC 27709, USA
    Theor Biol Med Model 2:46. 2005
  2. pmc Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes
    Pierre R Bushel
    National Center for Toxicogenomics, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
    BMC Syst Biol 1:15. 2007
  3. pmc The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
    Leming Shi
    National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
    BMC Bioinformatics 9:S10. 2008
  4. pmc Comparison of transcriptional responses in liver tissue and primary hepatocyte cell cultures after exposure to hexahydro-1, 3, 5-trinitro-1, 3, 5-triazine
    Edward J Perkins
    US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS, USA
    BMC Bioinformatics 7:S22. 2006
  5. ncbi request reprint Nonconjugate Bayesian analysis of variance component models
    R D Wolfinger
    SAS Institute, Inc, Cary, North Carolina 27513, USA
    Biometrics 56:768-74. 2000
  6. ncbi request reprint Assessing gene significance from cDNA microarray expression data via mixed models
    R D Wolfinger
    SAS Institute Inc, Cary, NC 27513, USA
    J Comput Biol 8:625-37. 2001

Collaborators

  • R S Paules
  • GREGORY C GIBSON
  • Leming Shi
  • Tzu Ming Chu
  • Pierre R Bushel
  • Wenjun Bao
  • Edward J Perkins
  • Delong Liu
  • Zhenqiang Su
  • Felix W Frueh
  • Weida Tong
  • Qian Xie
  • Xiao Hui Fan
  • Richard Shippy
  • Brett Thorn
  • Liang Zhang
  • Yaron Turpaz
  • Jing Han
  • Vincent Bertholet
  • Quan Zhen Li
  • Cecilie Boysen
  • Lei Guo
  • Roger G Perkins
  • Yunqing Ma
  • Jie Wu
  • Raj K Puri
  • Sheng Zhong
  • Damir Herman
  • Yuling Luo
  • Federico M Goodsaid
  • Shashi Amur
  • Ernest S Kawasaki
  • James C Fuscoe
  • Wendell D Jones
  • Hongmei Sun
  • Feng Qian
  • Roderick V Jensen
  • Lu Zhang
  • Ron L Peterson
  • Xiaoxi Megan Cao
  • Patrick J Collins
  • Charles Wang
  • Xu Guo
  • Stephen C Harris
  • Nan Mei
  • Lisa J Croner
  • Hong Fang
  • Sue Jane Wang
  • Huixiao Hong
  • James C Willey
  • Janet A Warrington
  • Yongming Andrew Sun
  • Catalin C Barbacioru
  • Laura S Inouye
  • Sharon A Meyer
  • Choo Yaw Ang
  • Xin Guan
  • Kevin W Gaido

Detail Information

Publications6

  1. pmc Analysis of variation of amplitudes in cell cycle gene expression
    Delong Liu
    CIIT Ceters for Health Research, 6 Davis Drive, Research Triangle Park, NC 27709, USA
    Theor Biol Med Model 2:46. 2005
    ..We investigated whether different cell-arresting methods have impacts on the maximum expression levels (amplitudes) of a cell cycle related gene...
  2. pmc Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes
    Pierre R Bushel
    National Center for Toxicogenomics, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
    BMC Syst Biol 1:15. 2007
    ..The inability of clustering algorithms to incorporate biological data in the grouping process can limit proper interpretation of the data and its underlying biology...
  3. pmc The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
    Leming Shi
    National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
    BMC Bioinformatics 9:S10. 2008
    ..The resultant variety of existing and emerging methods exacerbates confusion and continuing debate in the microarray community on the appropriate choice of methods for identifying reliable DEG lists...
  4. pmc Comparison of transcriptional responses in liver tissue and primary hepatocyte cell cultures after exposure to hexahydro-1, 3, 5-trinitro-1, 3, 5-triazine
    Edward J Perkins
    US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS, USA
    BMC Bioinformatics 7:S22. 2006
    ..In this work, we compare transcriptional responses in livers of Sprague-Dawley rats and primary hepatocyte cells after exposure to RDX to determine how faithfully the in vitro model system reflects in vivo responses...
  5. ncbi request reprint Nonconjugate Bayesian analysis of variance component models
    R D Wolfinger
    SAS Institute, Inc, Cary, North Carolina 27513, USA
    Biometrics 56:768-74. 2000
    ..We demonstrate the ease of application and flexibility of this approach in familiar settings involving both balanced and unbalanced data...
  6. ncbi request reprint Assessing gene significance from cDNA microarray expression data via mixed models
    R D Wolfinger
    SAS Institute Inc, Cary, NC 27513, USA
    J Comput Biol 8:625-37. 2001
    ..We also suggest some basic graphics for visualizing lists of significant genes. Analyses of published experiments studying human cancer and yeast cells illustrate the results...