MAQC-II Experiences in the Development and Validation of Genomic Predictive Models for Clinical and Toxicogenomic Data Sets
*Russell D. Wolfinger, SAS Institute Inc. 

Keywords: genomics, predictive modeling, data mining, MAQC

We relate come current results and lessons learned from participation in MAQC-II. An experimental design over predictive modeling space provides clues regarding factors that are most important for cross-validation.