The previous visualizations helped us cleanse the Fickett datasets by eliminating the redundancies. This would imply that more hidden nodes were needed in the Neural Net. The table below shows NN accuracy results from using 3000 exons and 3000 introns for training. This case study demonstrates the need for integrating multi-dimensional visualization tools with data mining tools. Many packages provide standard scatter plots, and some have 3-d plots.
Analytic tools do help.
Neural nets, classifying and clustering algorithms, are clearly powerful but they still need to be guided by human insight. Data Mining of Large Gene Datasets Using the Mutual Information Function. To appear in Nature. The VIBE System, Information Processing and Management, Vol. 69-81, Pergamon Press Ltd, 1993.