Proceedings Article10.1109/IJCNN.2002.1005468
Bayesian neural network for microarray data
Yulan Liang,E. Olusegun George,A. Kelemen +2 more
- 12 May 2002
- Vol. 1, pp 193-197
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TL;DR: Bayesian neural networks with structural learning with representative data and regularization for exploring microarray data in gene expressions and Bayesian techniques to extract gene expression information from noisy data.
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Abstract: We propose Bayesian neural networks (BNN) with structural learning for exploring microarray data in gene expressions. The approach employs representative data and regularization to capture correlation among gene expressions and Bayesian techniques to extract gene expression information from noisy data. The performance was verified with stratified cross-validation and multiple iterated runs.
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