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Updated: Jul 10, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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通过深度学习增强DNA序列的分类学分类:一种多标签方法

Prommy Sultana Hossain1, Kyungsup Kim2, Jia Uddin3

  • 1Computer Science, George Mason University, Fairfax, VA 22030, USA.

Bioengineering (Basel, Switzerland)
|November 25, 2023
PubMed
概括

深度学习模型使用变异卷积自编码器 (VCAE) 和多标签极端学习机器 (MLELM) 准确地分类DNA序列. 结合多个标签,如类和家族,显著提高了分类学分类准确度94%.

关键词:
在DNA测序过程中,DNA测序卷积式自动编码器的自动编码器极端学习的机器学习.变量自动编码器变量自动编码器

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