Iterative feature selection method to discover predictive variables and interactions for high-dimensional transplant genomic data
Hu Huang, Cynthia Vierra‐Green, Stephen Spellman, Caleb J. Kennedy
The paper introduces an iterative feature selection method to identify predictive SNPs and their interactions in high-dimensional transplant genomic data, showing it can reduce SNP sets to less than 0.05%.
bioRxiv · Apr 18, 2019 · PreprintBioinformatics