Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19.

Hasan, Md Imran; Rahman, Md Habibur; Islam, M Babul; Islam, Md Zahidul; Hossain, Md Arju; Moni, Mohammad Ali

Hasan, Md Imran; Rahman, Md Habibur; Islam, M Babul; Islam, Md Zahidul; Hossain, Md Arju; Moni, Mohammad Ali.

Afiliação

Hasan MI; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh.
Rahman MH; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh.
Islam MB; Department of Electrical and Electronic Engineering, University of Rajshahi, 6205, Bangladesh.
Islam MZ; Department of Information and Communication Technology, Islamic University, Kushtia 7003, Bangladesh.
Hossain MA; Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail 1092, Bangladesh.
Moni MA; Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna 6600, Bangladesh.

Inform Med Unlocked ; 28: 100840, 2022.

Article em En | MEDLINE | ID: mdl-34981034

Palavras-chave

Biomarker signatures; Blood common gene; COVID-19; Differentially expressed genes; Gene ontology; PBMCs cell

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Inform Med Unlocked Ano de publicação: 2022 Tipo de documento: Article

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