Evaluating switching neural networks through artificial and real gene expression data

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摘要

ObjectiveDNA microarrays offer the possibility of analyzing the expression level for thousands of genes concerning a specific tissue. An important target of this analysis is to derive the subset of genes involved in a biological process of interest. Here, a new promising method for gene selection is proposed, which presents a good level of accuracy and reliability.

论文关键词:Gene selection,Machine learning,Switching neural networks,Recursive feature addition,Shadow clustering

论文评审过程:Received 31 October 2007, Revised 1 August 2008, Accepted 4 August 2008, Available online 11 September 2008.

论文官网地址:https://doi.org/10.1016/j.artmed.2008.08.002