SNP Selection and Classification of Genome Wide SNP Data Using Stratified Sampli

For high dimensional genome-wide association (GWA) case-control data of complex disease, there are usually a large portion of single-nucleotide polymorphisms (SNPs) that are irrelevant with the disease. A simple random sampling method in random forest using default parameter to choose feature subspa