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Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

scientific article published on 5 February 2020

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Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study (English)

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10.1101/2020.02.03.932350

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27 May 2020

Maximillian P M Soltysiak

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10.1101/2020.02.03.932350

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27 May 2020

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Lila Kari

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10.1101/2020.02.03.932350

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27 May 2020

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Hadi El Roz

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10.1101/2020.02.03.932350

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27 May 2020

Camila P.E. de Souza

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4

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10.1101/2020.02.03.932350

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27 May 2020

Kathleen A. Hill

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5

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10.1101/2020.02.03.932350

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5 February 2020

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bioRxiv

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cites work

Evolution of Synonymous Codon Usage Bias in West African and Central African Strains of Monkeypox Virus.

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21 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1177/1176934318761368

From SARS-CoV to Wuhan 2019-nCoV Outbreak: Similarity of Early Epidemic and Prediction of Future Trends

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https://opencitations.net/index/api/v1/citations/10.1101/2020.01.24.919241

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6 January 2024

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10.1101/2020.02.03.932350

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10.1101/2020.02.03.932350

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https://api.crossref.org/v1/works/http://dx.doi.org/10.1101/2020.02.03.932350

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27 May 2020

Dimensions Publication ID

1124593911

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Dimensions COVID-19 publications, datasets and clinical trials

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10.6084/M9.FIGSHARE.11961063

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28 May 2020

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213915433

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(Q88973782)

Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

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