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Entropy-based methods have been extensively used to measure the uncertainty information in a variety of fields. In this article, a novel information theory-based method for reducing noise of liquid chromatography–mass spectrometry (LC/MS) data was developed. The uncertainty existed in the LC/MS chromatograms was captured and evaluated by information entropy. By comparing the information entropy computationally...
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