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Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients.
Mahmud, S M Hasan; Al-Mustanjid, Md; Akter, Farzana; Rahman, Md Shazzadur; Ahmed, Kawsar; Rahman, Md Habibur; Chen, Wenyu; Moni, Mohammad Ali.
Afiliação
  • Mahmud SMH; Computer Science and Technology from the University of Electronic Science and Technology of China, China.
  • Al-Mustanjid M; Daffodil International University, Bangladesh.
  • Akter F; Computer Science and Engineering from Daffodil International University, Bangladesh.
  • Rahman MS; Daffodil International University, Bangladesh.
  • Ahmed K; Information and Communication Technology (ICT) at Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
  • Rahman MH; Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Chen W; University of Electronic Science and Technology of China, China.
  • Moni MA; University of New South Wales, Australia.
Brief Bioinform ; 22(5)2021 09 02.
Article em En | MEDLINE | ID: mdl-33847347
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Doença Pulmonar Obstrutiva Crônica / Biologia de Sistemas / Fibrose Pulmonar Idiopática / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Doença Pulmonar Obstrutiva Crônica / Biologia de Sistemas / Fibrose Pulmonar Idiopática / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article