SAMPL - Sampling And Model-Selection PipeLine : Systematically Combining Stable Gene Selection and Classification
Poster Apr 05, 2007
Two goals of gene expression analysis are classification and gene selection. Combinations of gene selectors with classifiers were evaluated on random subsets of arrays. Consensus gene signatures are constructed from genes frequently selected. Model reliability is estimated by the variance of the classification performances. The method finds reliable models, even when classification performance is variable. Manual literature screening verified the relevance of the genes identified from an osteoarthritis dataset.
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