Example: Cancer Classification with Gene Expression Data

Bayesia

Example: Cancer Classification with Gene Expression Data

Context

This simple network model illustrates how BayesiaLab can quickly learn a Bayesian network classifier from a dataset consisting of 7,129 genes from 72 tumor samples.

Cancer Classification with Gene Expression Data

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Data and Network Files

Golub-Network-Model.xbl

Golub-Dataset.txt

References

Golub, Todd R., et al. “Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring.” Science 286(5439), 531-537, 1999.

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