classification: Classification demonstration
In catnet: Categorical Bayesian Network Inference
classification R Documentation
Classification demonstration
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.
catnet documentation built on Nov. 10, 2022, 5:08 p.m.
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| classification | R Documentation |
Classification demonstration
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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