Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods-Reference-Cited by-同舟云学术

Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods

Published:2024-02 Issue: Volume:169 Page:107883
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Ren Jingxin,Zhou XianChao,Huang Ke,Chen Lei,Guo Wei,Feng KaiYan,Huang Tao^ORCID,Cai Yu-Dong

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference53 articles.

1. More than 50 long-term effects of COVID-19: a systematic review and meta-analysis;Lopez-Leon;Sci. Rep.,2021

2. Long-term consequences of COVID-19: research needs;Yelin;Lancet Infect. Dis.,2020

3. Post-COVID-19 condition;Nalbandian;Annu. Rev. Med.,2023

4. Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection;Dan;Science,2021

5. SARS-CoV-2 infection induces long-lived bone marrow plasma cells in humans;Turner;Nature,2021

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