Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy
Abstract Background The early diagnosis of lung cancer has been a critical problem in clinical practice for a long time and identifying differentially expressed gene as disease marker is a promising solution. However, the most existing gene differential expression analysis (DEA) methods have two mai...
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BMC,
2019-12-01T00:00:00Z.
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