Fig. 7From: fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studiesMachine learning prediction of plasma levels in CALGB 80303. Comparison of observed and predicted plasma protein levels of VEGF-A, VEGF-C, and MCP1. The machine learning model is built based on the top 100 SNPs selected by fastJT, and trained using the glmnet packageBack to article page