Application of machine learning in understanding plant virus pathogenesis: trends and perspectives on emergence, diagnosis, host-virus interplay and management.

Ghosh, Dibyendu; Chakraborty, Srija; Kodamana, Hariprasad; Chakraborty, Supriya

Ghosh, Dibyendu; Chakraborty, Srija; Kodamana, Hariprasad; Chakraborty, Supriya.

Afiliación

Ghosh D; Molecular Virology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Chakraborty S; Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India.
Kodamana H; Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India.
Chakraborty S; School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, 110016, India.

Virol J ; 19(1): 42, 2022 03 09.

Article en En | MEDLINE | ID: mdl-35264189

Asunto(s)

Virus de Plantas; Virosis; Algoritmos; Biología Computacional/métodos; Virus ADN; Aprendizaje Automático; Virus de Plantas/genética; Plantas; Virosis/diagnóstico

Palabras clave

Control options; Deep learning; Evolution and emergence; Host-virus interactions; Machine learning; Pathogenesis; Plant virus

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Virus de Plantas / Virosis Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Virol J Asunto de la revista: VIROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: India

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