PLA2G4A and myelodysplastic syndrome: In addition, the samples of the GSE58831 dataset were divided into a training set for model development (3/4, n = 119) and a test set for model validation (1/4, n = 40), SVE-RFE algorithm was conducted to select 9 candidates (MLKL, STAT1, IRF9, BAX, JAK2, PLA2G4A, STAT3, FAS, TNFSF10) for MDS (Fig. 7C).