Figure 1.

Machine learning flowchart. (A) Pharmacogenomic data including lung cancer mRNA expression and EGFR inhibitor drug sensitive data were introduced. These data were from CCLE and CTRP databases, respectively. (B) The prediction models of EGFR inhibitor-response genes were constructed based on group lasso algorithm. (C) The gene sets associated with each of the 10 EGFR inhibitor responses were predicted. (D) Using lasso model to predict methylation sites related with EGFR inhibitor sensitivity.