Real Data Study I: Global Gene Expression Map Sample Clauses

Real Data Study I: Global Gene Expression Map. Similar to Section 2.3.1, we use the heart and brain datasets from the global gene expression map to compare the performance of different methods detecting DE genes. We apply all the methods except the Z test used in our simulation studies to real gene expression microarray data contained in the global map of gene expression. Heart data Since we do not know the true DE genes in the real data, we use agreement as the performance measure which is defined to be the proportion of overlap between two lists (equal length) of genes. Two normal (out of 36) and two disease (out of 51) heart samples are randomly selected and we treat the remaining 34 normal heart samples as historical data. We then apply stHM, swHM and competing methods on these data to obtain a list of top 1000 DE genes for each method, respectively. We repeat the above sampling and
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