Script and research repository for the ENT predictor for 3rd CMI-PB Prediction Challenge supervised by the Wimmers Lab at the University of Tübingen

R code to reproduce 2nd CMI-PB Prediction challenge submission

2nd-cmipb-challenge

Predictive modeling of multi-modal assay data from subjects vaccinated against Pertussis

CMI-PB submission files.

This repository contains the codes for building predictive models used in the 2nd CMI-PB Challenge

Model code for the CMI-PB challenge 2

Predicting the response to the pertussis booster vaccine

This repository includes our University of Minnesota team's code used and submission for the 2nd CMI-PB prediction challenge

My entry to the January 16th 2024 CMI-PB (computational models of immunity - pertussis boost) prediction competition.

Contains scripts utilized to train/predict tasks for the CMI-PB 2nd annual prediction contest (cmi-pb.org).

2nd-cmipb-challenge

Computational Models of Immunity to Pertussis Booster vaccinations (CMI-PB) Project to generate experimental data to create and test computational models that predict vaccination outcomes based on the baseline state of the vaccines.

Assessing data noise, feature filtering, batch effects between 2020 and 2021 CMI-PB datasets.

Random forest to rank CMI-PB challenge