A multi-omics systems vaccinology resource to develop and test computational models of immunity.

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

SUBMITTER: Shinde P 

PROVIDER: S-EPMC10985234 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature