Fig. 11
From: Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data
SNPs chosen more than 10% of the time as features of the FRESA.CAD Benchmark Heatmap of the main SNPs being chosen across all the classifiers. The Y axis are the main SNPs being selected while the X axis represents the different classifiers of the FRESA.CAD Benchmarking with the ADNI-Discovery dataset for the Cross-validation and using the top 2500 SNPs as input