In this tutorial, you learned about the SLAMô algorithm and how to use it to select a small set of genes (features) that can be used to train a committee of artificial neural networks (ANNs) to predict the classes of new samples. For further information, please see ANN Classification and Prediction Overview.
When you are finished, you can close all the open plots either by clicking on the 'x' box in the upper-right hand corner of each, or by selecting Close All from the Window menu.
'Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks.' Javed Khan, Jun S Wei, Markus Ringner, Lao H Saal, Marc Ladanyi, Frank Westermann, Frank Berthold, Manfred Schwab, Cristina R Antonescu, Carsten Peterson & Paul S Meltzer. Nature Medicine 7(6) pp.673-679 (June 2001).
Where To Go From Here
Go through the other tutorials.
Read the Online Help to learn more about the various functions of GeneLinkerô.
Further explore GeneLinkerô by using additional features.
Load up your favorite dataset and try out all the buttons and menu items.
Don't forget to right-click on things like plots - many details of graphics can be customized.
Visit the Predictive Patterns website at http://www.improvedoutcomes.com/ for the latest information on GeneLinkerô enhancements and additional products.