Classification of imbalanced data is an important issue in metabolomics.How to improve the classification accuracy of imbalanced data is currently the focus of attention.
Nitroaromatic compounds pose a significant risk to human health and other living organisms.However,the conventionally high performance liquid chromatography(HPLC)methods are complicated and time-consu
Methimazole is widely used for various types of hyperthyroidism by preventing peroxidase.In this paper,the multiplicative effects model for surface-enhanced Raman spectroscopy(MEMSERS)combined with Au
One main goal of chemometrics in metabonomics is to identify some informative variables so as to discover the potential biomarkers,since biomarkers can be of great importance for either biological or
A high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method combined with mass spectrometry multiplicative effects model(MEMMS)for high-sensitivity quantitative analysis of chi