Department of Biostatistics

Gene expression data filters

  • Pounds and Cheng (2005) develop two filters for Affymetrix gene expression data, show the novel filters to have approximately optimal statistical properties, and demonstrate how to evaluate the impact of a filter on the final analysis.
  • Code to implement the method is available in S-plus and R. To receive alerts regarding software updates, send an e-mail with "Software Update" in the subject line.
  • This User's Guide may be helpful in getting started.
  • More questions? Contact Stan Pounds.