- Harnessing naturally randomized transcription to infer regulatory relationships among genesLin 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...
- Insights into colon cancer etiology via a regularized approach to gene set analysis of GWAS dataLin 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...
- Eigen-R2 for dissecting variation in high-dimensional studiesLin 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...