Putting computational models of immunity to the test-An invited challenge to predict B.pertussis vaccination responses.

ABSTRACT: Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome. Comparing such models is challenging due to variability in study designs. To address this, we established a community resource to compare models predicting B. pertussis booster responses and generate experimental data for the explicit purpose of model evaluation. We here describe our second computational prediction challenge using this resource, where we benchmarked 49 algorithms from 53 scientists. We found that the most successful models stood out in their handling of nonlinearities, reducing large feature sets to representative subsets, and advanced data preprocessing. In contrast, we found that models adopted

SUBMITTER: Shinde P 

PROVIDER: S-EPMC11978014 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature