Gene List Significance Index (GLSI) improves our method High Performance Chip Data Analysis dramatically - Quantifying the quality of different lists of analyzed significant genes

Our gene expression profiling strategy High Performance Chip Data Analysis (HPCDA) was improved with a method for quantifying the quality of different gene lists (GLs) with the new Gene List Significance Index (GLSI). With GLSI it is possible to decide which of two different extracted GLs has highest fraction of true positives, of high fold change or low p-value genes. With GLSI we could empirically optimize HPCDA-Score for ranking genes.