Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1617001(2023)

Analysis of Protein Mass Spectrometry Data using Flex-Bootstrap and Neural Network Fusion Model

Haiqiang Zhang1, Yong Li1、*, and Cheng Xiang2
Author Affiliations
  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650550, Yunnan, China
  • 2Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650550, Yunnan, China
  • show less
    Figures & Tables(5)
    Analysis of mass spectrometry data based on Flex-Bootstrap and neural network fusion model
    Flow chart of CNN and DNN fusion model
    Flow chart of Multi-CNN and DNN fusion model
    Accuracy and loss function curve
    • Table 1. Accuracy of each model in different Lr

      View table

      Table 1. Accuracy of each model in different Lr

      ModelDNNCNN and DNN fusionMulti-CNN and DNN fusion
      Accuracy(Lr is 0.001)83.7585.4290.71
      Accuracy(Lr is 0.0001)89.5292.2798.82
    Tools

    Get Citation

    Copy Citation Text

    Haiqiang Zhang, Yong Li, Cheng Xiang. Analysis of Protein Mass Spectrometry Data using Flex-Bootstrap and Neural Network Fusion Model[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1617001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Aug. 29, 2022

    Accepted: Oct. 13, 2022

    Published Online: Aug. 18, 2023

    The Author Email: Li Yong (Dr.Leon@foxmail.com)

    DOI:10.3788/LOP222411

    Topics