GSTA1 and pulmonary arterial hypertension: Subsequently, we identified 9 important variables closely associated with subtypes using the Boruta feature selection algorithm as follows: ALB, BHMT, CUBN, DPYS, GAMT, GSTA1, HAO2, PAH, and SLC27A2 (Fig. 7C).