Predictive analysis for pathogenicity classification of H5Nx avian influenza strains using machine learning techniques

Author:

Chadha AkshayORCID,Dara Rozita,Pearl David L.,Sharif Shayan,Poljak Zvonimir

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Food Animals

Reference83 articles.

1. A review of avian influenza in different bird species;Alexander;Vet. Microbiol.,2000

2. Convolutional neural networks for classification of alignments of non-coding RNA sequences;Aoki;Bioinformatics,2018

3. DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning;Arloth;PLOS Comput. Biol.,2016

4. Surveillance and characterization of low pathogenic H5 avian influenza viruses isolated from wild migratory birds in Korea;Baek;Virus Res.,2010

5. Pathobiological characterization of a novel reassortant highly pathogenic H5N1 virus isolated in British Columbia, Canada, 2015;Berhane;Sci. Rep.,2016

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