Interestingly, our study has shown that the model based on 5 features i.e. 5 RNA transcripts (CLEC4G, CLEC4M, FCN2, CLEC1B and COLEC10), or 5 CpG sites (cg20855160, cg7614747, cg21009747, cg25792518 and cg03497652) performed quite similar to that of models based on much large dimension of features as indicated by the performance to discriminate cancer and normal samples with 96.47% accuracy and AUC 0.97 on the independent validation dataset. Here, CLEC1B is linked to cancer.