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Cancer Classification with Gene Expression Data

This simple network model illustrates how BayesiaLab can quickly learn a Bayesian network classifier from a dataset consisting of 7129 genes from 72 tumor samples.

References

Golub, Todd R., et al. "Molecular classification of cancer: class discovery and class prediction by gene expression monitoring." science 286.5439 (1999): 531-537.

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