The top10 genes were BATF2, IFIT3, C1QB, IFITM3, CARD17, GBP5, OAS3, ETV7, AIM2, and GBP4 that with the hidden layer weights >50%were chosen as the ideal candidates for building the model and which also serves as gene signatures to build multilayer perceptron neural network to classifying sarcoidosis from PTB. The gene discussed is BATF2; the disease is sarcoidosis.