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  • Combining knowledge distillation and neural networks to predict protein secondary structure

    Combining knowledge distillation and neural networks to predict protein secondary structure

    Evaluation metrics and parameter settings

    In this work, accuracy (Q8) and accuracy (Q3)22 are used to measure the goodness of fit of the model. The 8-state secondary structures are H, G, I, E, B, S, T, and C, and the 3-state secondary structures…

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  • Integrating untargeted volatile metabolomics and molecular evidence supporting chemotaxonomy in Kaempferia species for more effective identification

    Integrating untargeted volatile metabolomics and molecular evidence supporting chemotaxonomy in Kaempferia species for more effective identification

  • Elshamy, I. A. et al. Recent advances in Kaempferia phytochemistry and biological activity: A comprehensive review. Nutrients 11, 2396. https://doi.org/10.3390/nu11102396 (2019).

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    PubMed Central 

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