Gene List Significance Index (GLSI) improves our method High Performance Chip Data Analysis dramatically - Quantifying the quality of different lists of analyzed significant genes
Poster Dec 01, 2009
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.
When there is a need to quickly analyze samples using a number of different PCR assays, it is likely that optimal conditions for each assay will not be the same. First, different assays often will require different annealing temperatures for their primers. In addition, amplicons may be designed to be of different lengths and therefore require varying durations of the extension step.READ MORE