PAF1 and Parkinson disease: The PD data cohorts were treated individually by first separating out 20% of the test samples and the resultant RF-selected 20 predictive transcripts (Table 2, PD1 and PD2) each performed for PD1 at 89% sensitivity, and for PD2, the top set of predictors only gave the best performance at an RF sensitivity of 60%; however, when subjected to downstream validation using LDA, the 20 transcripts were able to classify PD from controls with 83% accuracy (Figure S2b, Table S4).