Hopper: an adaptive model for probability estimation of influenza reassortment through host prediction

HIGHLIGHTS

  • who: Rui Yin from the (UNIVERSITY) have published the Article: HopPER: an adaptive model for probability estimation of influenza reassortment through host prediction, in the Journal: (JOURNAL) of 31/Dec/2017
  • what: The authors develop a novel approach named HopPER (Host-prediction-based Probability Estimation of Reassortment) that employs machine_learning techniques to calculate the reassortment probability by predicting the host tropism in a given collection of genomic sequences. In the model, the actual host in which the mixing occurred is disregarded and the focus is mainly on detecting past reassortants and the potential evolutionary relationships . . .

     

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