R code to reproduce 2nd CMI-PB Prediction challenge submission
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Updated
Jan 23, 2024
R code to reproduce 2nd CMI-PB Prediction challenge submission
Contains scripts utilized to train/predict tasks for the CMI-PB 2nd annual prediction contest (cmi-pb.org).
Predictive modeling of multi-modal assay data from subjects vaccinated against Pertussis
My entry to the January 16th 2024 CMI-PB (computational models of immunity - pertussis boost) prediction competition.
Assessing data noise, feature filtering, batch effects between 2020 and 2021 CMI-PB datasets.
This repository contains the codes for building predictive models used in the 2nd CMI-PB Challenge
This repository includes our University of Minnesota team's code used and submission for the 2nd CMI-PB prediction challenge
Model code for the CMI-PB challenge 2
Predicting the response to the pertussis booster vaccine
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.
Read in data, Harmonization, Missing value imputation
Random forest to rank CMI-PB challenge
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