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Updated: Jun 28, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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Published on: September 25, 2021

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MetageNN:一个高效的记忆神经网络分类学分类器,能够对测序错误和缺失的基因组进行强大的分类.

Rafael Peres da Silva1,2, Chayaporn Suphavilai3, Niranjan Nagarajan4,5,6

  • 1School of Computing, National University of Singapore, Singapore, 117417, Republic of Singapore. rperesdasilva@gis.a-star.edu.sg.

BMC bioinformatics
|April 16, 2024
PubMed
概括

MetageNN是一种新型神经网络分类器,可以从长时间读取的测序数据中准确识别物种,即使存在错误或不完整的数据库. 这种高效的内存工具显著提高了分类学分类的速度和灵敏度.

关键词:
长时间阅读机器学习是机器学习.转基因组学是指转基因组学.分类学分类 分类学分类.

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