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High-dimensional classification is a common problem in bio-informatics and medicine science. Usually the number of feature is thousands or more but the sample size is much smaller which presents challenge for pattern recognition in computational biology. In this paper, a statistical sparse independence rule (SSIR) is proposed for high-dimensional disease classification. To make up the weakness of...
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