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Updated: Jul 17, 2025

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
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Published on: June 16, 2011

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库特-狮子优化深度学习算法用于COVID-19点突变率预测,使用基因组序列

Praveen Gugulothu1, Raju Bhukya1

  • 1Department of Computer Science and Engineering, National Institute of Technology Warangal, Hanamkonda, Telangana 506004, India.

Computer methods in biomechanics and biomedical engineering
|September 5, 2023
PubMed
概括

使用基于Lion的Coot算法 (LBCA) 的新型深度量子神经网络 (DQNN) 从基因组数据准确地预测了COVID-19. 这种基于LBCA的DQNN在识别病毒突变以可靠预测疾病方面表现出很高的性能.

关键词:
布雷 - 库蒂斯距离的距离预测COVID-19的预测情况基因组序列的测序深信网络是一个深信网络.深度量子神经网络是一个深度量子神经网络.

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