classification: Classification demonstration

Description

Description

Detailed information on the analysis can be found in our paper "Discrete Bayesian Network Classification for Gene Expression Data". From the installation catnet/demo directory copy the files cvKforl.r, diabetesLoad.r, diabetes.r, bostonLoad.r and boston.r into a new directory along with the data files "Diabetes_collapsed_symbols.gct", "Lung_Michigan_collapsed_symbols.gct" and "Lung_Boston_collapsed_symbols.gct" beforehand downloaded from the GSEA site. Then call demo(diabetes) and demo(boston) or open the files and execute the code manually. The processing takes hours.



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