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An integrated method for cancer classification and rule extraction from microarray data

By Liang-Tsung Huang


Different microarray techniques recently have been successfully used to investigate useful information for cancer diagnosis at the gene expression level due to their ability to measure thousands of gene expression levels in a massively parallel way. One important issue is to improve classification performance of microarray data. However, it would be ideal that influential genes and even interpretable rules can be explored at the same time to offer biological insight

Topics: Research
Publisher: BioMed Central
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Provided by: PubMed Central
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