Central hubs prediction for bio networks by directed hypergraph - GA with validation to COVID-19 PPI.

Gopalakrishnan, Sathyanarayanan; Sridharan, Supriya; Nayak, Soumya Ranjan; Nayak, Janmenjoy; Venkataraman, Swaminathan

Gopalakrishnan, Sathyanarayanan; Sridharan, Supriya; Nayak, Soumya Ranjan; Nayak, Janmenjoy; Venkataraman, Swaminathan.

Afiliação

Gopalakrishnan S; Department of Mathematics, School of Arts, Science, Humanities and Education, SASTRA Deemed to be University, Thanjavur, India.
Sridharan S; Department of Mathematics, School of Arts, Science, Humanities and Education, SASTRA Deemed to be University, Thanjavur, India.
Nayak SR; Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, India.
Nayak J; Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo University, Baripada, Mayurbhanj, Odisha, 757003.
Venkataraman S; Department of Mathematics, School of Arts, Science, Humanities and Education, SASTRA Deemed to be University, Thanjavur, India.

Pattern Recognit Lett ; 153: 246-253, 2022 Jan.

Article em En | MEDLINE | ID: mdl-34975182

Palavras-chave

05C65; 05C82; 68M10; 90B18; 90C27; 90C35; 91D30; 92B20; COVID-19; Centrality measures; Degree centrality; Directed hypergraph; Genetic algorithm; Strong tie; Weak tie

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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