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Systems immunology
Systems biological approaches to immunology have grown exponentially in the past decade, especially as broad approaches to data collection have become more accessible. It is still in its infancy; however, largely descriptive, and looking for the main drivers of particular phenomena, such as vaccinat...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390724/ https://www.ncbi.nlm.nih.gov/pubmed/32738786 http://dx.doi.org/10.1016/j.coi.2020.06.006 |
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author | Davis, Mark M |
author_facet | Davis, Mark M |
author_sort | Davis, Mark M |
collection | PubMed |
description | Systems biological approaches to immunology have grown exponentially in the past decade, especially as broad approaches to data collection have become more accessible. It is still in its infancy; however, largely descriptive, and looking for the main drivers of particular phenomena, such as vaccination effects or pregnancy. But this lays the ground work for an increasingly sophisticated appreciation of subsystems and interactions and will lead to predictive modeling and a deeper understanding of human diseases and interactions with pathogens. |
format | Online Article Text |
id | pubmed-7390724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73907242020-07-30 Systems immunology Davis, Mark M Curr Opin Immunol Article Systems biological approaches to immunology have grown exponentially in the past decade, especially as broad approaches to data collection have become more accessible. It is still in its infancy; however, largely descriptive, and looking for the main drivers of particular phenomena, such as vaccination effects or pregnancy. But this lays the ground work for an increasingly sophisticated appreciation of subsystems and interactions and will lead to predictive modeling and a deeper understanding of human diseases and interactions with pathogens. Published by Elsevier Ltd. 2020-08 2020-07-30 /pmc/articles/PMC7390724/ /pubmed/32738786 http://dx.doi.org/10.1016/j.coi.2020.06.006 Text en © 2020 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Davis, Mark M Systems immunology |
title | Systems immunology |
title_full | Systems immunology |
title_fullStr | Systems immunology |
title_full_unstemmed | Systems immunology |
title_short | Systems immunology |
title_sort | systems immunology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390724/ https://www.ncbi.nlm.nih.gov/pubmed/32738786 http://dx.doi.org/10.1016/j.coi.2020.06.006 |
work_keys_str_mv | AT davismarkm systemsimmunology |