RCOVID19: Recurrence-based SARS-CoV-2 features using chaos game representation.

Olyaee, Mohammad Hossein; Pirgazi, Jamshid; Khalifeh, Khosrow; Khanteymoori, Alireza

Olyaee, Mohammad Hossein; Pirgazi, Jamshid; Khalifeh, Khosrow; Khanteymoori, Alireza.

Afiliação

Olyaee MH; Faculty of Engineering, Department of Computer Engineering, University of Gonabad, Gonabad, Iran.
Pirgazi J; Department of Electrical and Computer Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran.
Khalifeh K; Department of Biology, Faculty of Sciences, University of Zanjan, Zanjan, Iran.
Khanteymoori A; Department of Computer Engineering, University of Zanjan, Zanjan, Iran.

Data Brief ; 32: 106144, 2020 Oct.

Article em En | MEDLINE | ID: mdl-32835040

Palavras-chave

Chaos game representation; Coordinate series; Nonlinear analysis; Recurrence quantification analysis; SARS-CoV-2

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Irã

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