Selected article for: "logistic regression and random forest"
Author: Edison Ong; Mei U Wong; Anthony Huffman; Yongqun He
Title: COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning
  • Document date: 2020_3_21
    • ID: ld0vo1rl_13
    Snippet: propose an "Sp/Nsp cocktail vaccine" as an effective strategy for COVID-19 vaccine development. including logistic regression, support vector machine, k-nearest neighbor, random forest 60 , and 315 of 14 coronaviruses besides SARS-CoV-2 were downloaded from the Uniprot (Table S2) The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.20.000141 doi: bioRxiv preprint The copyright holder for th.....
    Document: propose an "Sp/Nsp cocktail vaccine" as an effective strategy for COVID-19 vaccine development. including logistic regression, support vector machine, k-nearest neighbor, random forest 60 , and 315 of 14 coronaviruses besides SARS-CoV-2 were downloaded from the Uniprot (Table S2) The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.20.000141 doi: bioRxiv preprint The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.20.000141 doi: bioRxiv preprint The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.20.000141 doi: bioRxiv preprint The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.20.000141 doi: bioRxiv preprint

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