Example: Cancer Classification with Gene Expression Data
Example
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.
Datasets & Network Files
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.
PreviousWebinar: Differential Diagnosis of DiseasesNextExample: Unsupervised Learning with Currency Exchange Data
Last updated