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Window function-assisted MALDI-TOF MS data preprocessing combined with variables intersection and machine learning for classification analysis
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DOI：10.1016/j.measurement.2026.120487.png)
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Abstract
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• Novel preprocessing combines variables intersection & ML for classification. • Window function preprocessing boosts features & correlation in MALDI-TOF MS data. • Common features selected by information gain, Chi-square, LASSO improve accuracy. • SVM achieves 96.7% accuracy for wild & cultivated samples, 100% for regions. • Potential for broader application in authenticating food or medicines.
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