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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.