Genome wide association analysis of the 16th QTL- MAS Workshop dataset using the Random Forest machine learning approach

摘要

BackgroundGenome wide association studies are now widely used in the livestock sector to estimate the association among single nucleotide polymorphisms (SNPs) distributed across the whole genome and one or more trait. As computational power increases, the use of machine learning techniques to analyze large genome wide datasets becomes possible.