Selected article for: "complete genome and genome alignment"

Author: Gurjit S. Randhawa; Maximillian P.M. Soltysiak; Hadi El Roz; Camila P.E. de Souza; Kathleen A. Hill; Lila Kari
Title: Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
  • Document date: 2020_2_4
  • ID: cetdqgff_9
    Snippet: ML-DSP [51] and MLDSP-GUI [52] were used as the machine learning-based 117 alignment-free methods for complete genome analyses. As MLDSP-GUI is an extension 118 of the ML-DSP methodology, we will refer to the method hereafter as MLDSP-GUI......
    Document: ML-DSP [51] and MLDSP-GUI [52] were used as the machine learning-based 117 alignment-free methods for complete genome analyses. As MLDSP-GUI is an extension 118 of the ML-DSP methodology, we will refer to the method hereafter as MLDSP-GUI.

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