My apology if this comes across as a duplicate post, my mail server crashed just as I was sending a few minutes ago. I am in the process of performing a meta-analysis on micro-array data from 7 different experiments; several platforms and two species were used. My collaborators have sent me the Cohen's D-statistic for their experiments, which I will integrate with those of mine. I would like to use GSEA to look for groups with higher than expected average Cohen's D-stats. This should be theoretically possible as GSEA usually uses t- for F-statistics. Can either of the packages available (GSEA or GSA) accomadate such one-class data without modification? We also wish to identify individual genes whose mean d-statistic is not zero. I have suggested using a t-test with n=number of experiments with the corresponding degrees of freedom whereas others have suggested we do a z-test, since the d-statistics are already summaries of many individual animals. Which would be correct? Thanks, Mark -- Mark W. Kimpel MD Neuroinformatics Department of Psychiatry Indiana University School of Medicine