Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19.

Auwul, Md Rabiul; Rahman, Md Rezanur; Gov, Esra; Shahjaman, Md; Moni, Mohammad Ali

Auwul, Md Rabiul; Rahman, Md Rezanur; Gov, Esra; Shahjaman, Md; Moni, Mohammad Ali.

Afiliação

Auwul MR; School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China.
Rahman MR; Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj-6751, Bangladesh.
Gov E; Department of Bioengineering, Adana Alparslan Turkes Science and Technology University, Adana-01250, Turkey.
Shahjaman M; Department of Statistics, Begum Rokeya University, Rangpur-5400, Bangladesh.
Moni MA; WHO Collaborating Centre on eHealth, UNSW Digital Health, School of Public Health and Community Medicine, Faculty of Medicine, UNSW Sydney, Australia.

Brief Bioinform ; 22(5)2021 09 02.

Article em En | MEDLINE | ID: mdl-33839760

Assuntos

Neoplasias Encefálicas/patologia; Doenças do Sistema Nervoso Central/patologia; Biologia Computacional/métodos; Glioblastoma/patologia; Aprendizado de Máquina; Algoritmos; Progressão da Doença; Humanos

Palavras-chave

COVID-19; differentially expressed genes; gene coexpression network; machine learning; proteinprotein interaction; systems biology

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Doenças do Sistema Nervoso Central / Glioblastoma / Biologia Computacional / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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