A multi-omics systems vaccinology resource to develop and test computational models of immunity.
Cell Rep Methods
; 4(3): 100731, 2024 Mar 25.
Article
in En
| MEDLINE
| ID: mdl-38490204
ABSTRACT
Systems vaccinology studies have identified factors affecting individual vaccine responses, but comparing these findings is challenging due to varying study designs. To address this lack of reproducibility, we established a community resource for comparing Bordetella pertussis booster responses and to host annual contests for predicting patients' vaccination outcomes. We report here on our experiences with the "dry-run" prediction contest. We found that, among 20+ models adopted from the literature, the most successful model predicting vaccination outcome was based on age alone. This confirms our concerns about the reproducibility of conclusions between different vaccinology studies. Further, we found that, for newly trained models, handling of baseline information on the target variables was crucial. Overall, multiple co-inertia analysis gave the best results of the tested modeling approaches. Our goal is to engage community in these prediction challenges by making data and models available and opening a public contest in August 2024.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Vaccines
/
Multiomics
Limits:
Humans
Language:
En
Journal:
Cell Rep Methods
Year:
2024
Document type:
Article
Affiliation country:
United States