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Updated: Jul 5, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

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揭示蛋白质冠状结构:通过重新采样嵌入和机器学习进行预测

Rong Liao1, Yan Zhuang1, Xiangfeng Li1

  • 1College of Biomedical Engineering, National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, 610065, China.

Regenerative biomaterials
|January 12, 2024
PubMed
概括

预测纳米粒子蛋白冠状组成对于生物材料设计至关重要. 这项研究引入了重新采样嵌入,以提高机器学习模型准确度,用于蛋白质冠状病毒预测,增强生物材料开发.

关键词:
特性分析的特征分析.机器学习是机器学习.纳米颗粒是一种纳米粒子.蛋白质冠状病毒冠状病毒重新采样技术重新采样技术

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Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

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Prediction Intervals

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