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Journal article

SIMON, an automated machine learning system, reveals immune signatures of influenza vaccine responses

Abstract:

Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive models. However, available approaches have difficulty coping with incomplete datasets which is often the case when combining studies. Additionally, there are hundreds of algorithms available and no simple way to find the optimal one. In this stud...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4049/jimmunol.1900033

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Paediatrics
Department:
Unknown
Role:
Author
ORCID:
0000-0001-9885-3535
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Role:
Author
ORCID:
0000-0003-3596-681X
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Role:
Author
ORCID:
0000-0002-3871-918X
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Publisher:
American Association of Immunologists Publisher's website
Journal:
Journal of Immunology Journal website
Volume:
203
Issue:
3
Pages:
749-759
Publication date:
2019-07-22
Acceptance date:
2019-05-17
DOI:
EISSN:
1550-6606
ISSN:
0022-1767
Pmid:
31201239
Source identifiers:
1014395
Language:
English
Keywords:
Pubs id:
pubs:1014395
UUID:
uuid:6eb50736-06d5-4b4d-b754-dc828e6f4739
Local pid:
pubs:1014395
Deposit date:
2019-12-11

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