Lin S Chen

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. pmc Harnessing naturally randomized transcription to infer regulatory relationships among genes
    Lin S Chen
    Department of Biostatistics, University of Washington, 1705 NE Pacific St, Seattle, WA 98195, USA
    Genome Biol 8:R219. 2007
  2. pmc Insights into colon cancer etiology via a regularized approach to gene set analysis of GWAS data
    Lin S Chen
    Biostatistics and Biomathematics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 1024, USA
    Am J Hum Genet 86:860-71. 2010
  3. doi request reprint Eigen-R2 for dissecting variation in high-dimensional studies
    Lin S Chen
    Lewis Sigler Institute and Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
    Bioinformatics 24:2260-2. 2008

Detail Information

Publications3

  1. pmc Harnessing naturally randomized transcription to infer regulatory relationships among genes
    Lin S Chen
    Department of Biostatistics, University of Washington, 1705 NE Pacific St, Seattle, WA 98195, USA
    Genome Biol 8:R219. 2007
    ..We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network...
  2. pmc Insights into colon cancer etiology via a regularized approach to gene set analysis of GWAS data
    Lin S Chen
    Biostatistics and Biomathematics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 1024, USA
    Am J Hum Genet 86:860-71. 2010
    ..Elucidating the role of variation in these pathways may enhance our understanding of colon cancer etiology...
  3. doi request reprint Eigen-R2 for dissecting variation in high-dimensional studies
    Lin S Chen
    Lewis Sigler Institute and Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
    Bioinformatics 24:2260-2. 2008
    ..AVAILABILITY: An R-package eigenR2 is available at http://www.genomine.org/eigenr2/ and will be made publicly available via Bioconductor...