Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data
By K. Y. Yeung, Roger E Bumgarner, Adrian E. Raftery. Bioinform., 2005
590 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9d947ab6333670136213333d15d4195547625a97
How researchers see this paper
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In Artificial Intelligence
In Molecular Biology
- Wenxu Wang
- Ying-Cheng Lai
- Celso Grebogi
- Steven L. Brunton
- J. Nathan Kutz
- Joshua L. Proctor
- Maizar Raissi
Citations in the corpus
- Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, methodology): “The Bayesian networks (BNs) [346,347] are a commonly used probabilistic graphical model, represented as a direct acyclic graph (DAG), in which nodes represents a set of random variables and the direct links signify their conditional dependencies.”