In this tutorial, you learned about Support Vector Machines (SVMs) and to train a committee of SVMs to predict the classes of new samples.
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.
 'Class Prediction and Discovery Using Gene Expression Data', Donna K. Slonim, Pablo Tamayo, Jill P. Mesirov, Todd R. Golub, Eric S. Lander. RECOMB 2000.
 'Support Vector Machine Classification of Micorarray Data', S. Mukherjee, P. Tamayo, D. Slonim , A. Verri, T. Golub, J. Mesirov , and T. Poggio. A. I. Memo No. 1677.
 'Classification by Support Vector Machines', Florian Markowetz, Workshop on Practical Microarray Analysis, Heidelberg, Sept 26, 2002.
 'Statistical Learning Theory', V. Vapnik Wiley, New York, 1998.
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.