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基于网络的机器学习方法对代谢学中的二元分类进行比较研究

Hunter Dlugas1,2, Seongho Kim1,2

  • 1Biostatistics and Bioinformatics Core, Karmanos Cancer Institute, Detroit, MI 48201, USA.

Metabolites
|March 26, 2025
PubMed
概括

基于网络的机器学习模型在代谢学分类中表现不同. 贝叶斯神经网络 (BNN),科尔摩戈罗夫-阿诺德网络 (KAN) 和尖端神经网络 (SNN) 是有前途的,但没有一种单一的方法始终超过其他方法.

关键词:
贝叶斯神经网络是一个贝叶斯神经网络.科尔摩戈罗夫-阿诺德网络人工神经网络的人工神经网络二元分类是二元分类中的一种.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.机器学习是机器学习.代谢生物组的代谢生物组瘤学 在瘤学方面.尖的神经网络的神经网络.

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