Script and research repository for the ENT predictor for 3rd CMI-PB Prediction Challenge supervised by the Wimmers Lab at the University of Tübingen
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Updated
Dec 14, 2024 - Python
Script and research repository for the ENT predictor for 3rd CMI-PB Prediction Challenge supervised by the Wimmers Lab at the University of Tübingen
Predicting the response to the pertussis booster vaccine for the 2023 competition
3rd (public) challenge processed data preparation
Submission for the 3rd CMI-PB challenge. Predicting longitudinal vaccine response from multimodal patient data using RankNContrast models https://www.cmi-pb.org/blog/prediction-challenge-overview/
Repo for results submitted to 3rd-cmipb-challenge. Team: Chuxuan Li, Liran Mao, Tram Anh Nguyen, Yuhao Tan
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