The iterative Bayesian Model Averaging (BMA) algorithm is a variable selection and classification algorithm with an application of classifying 2-class microarray samples, as described in Yeung, Bumgarner and Raftery (Bioinformatics 2005, 21: 2394-2402).
|Author||Ka Yee Yeung, University of Washington, Seattle, WA, with contributions from Adrian Raftery and Ian Painter|
|Bioconductor views||Classification Microarray|
|Maintainer||Ka Yee Yeung <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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